1232 Database Developers jobs in Hyderabad
Data Engineer
Posted 2 days ago
Job Viewed
Job Description
**About the Job**
At Sanofi, we're committed to providing the next-gen healthcare that patients and customers need. It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Data Products and Platforms Team as a **Data Engineer** and you can help make it happen.
? **What you will be doing:** **?**
Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
The Data Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.
As a **Data Engineer** , you will join this dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work as a part of a Data Product Delivery Pod, lead by a Product Owner, in an agile environment to deliver Data & AI Products. As a part of this team, you will be responsible for the design and development of data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data. You will have the ability to work on multiple data products serving multiple areas of the business.
**?**
**Our vision for digital, data analytics and AI?**
Join us on our journey in enabling Sanofi's Digital Transformation through becoming an AI first organization. This means:?
+ **AI Factory - Versatile Teams Operating in Cross Functional Pods:** Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
+ **Leading Edge Tech Stack:** Experience build products that will be deployed globally on a leading-edge tech stack.
+ **World Class Mentorship and Training:** Working with renown leaders and academics in machine learning to further develop your skillsets **.**
**?**
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
**?**
**?** **Main Responsibilities:**
_Data Product Engineering:_
+ Provide input into the engineering feasibility of developing specific R&D Data/AI Products
+ Provide input to Data/AI Product Owner and Scrum Master to support with planning, capacity, and resource estimates
+ Design, build, and maintain scalable and reusable ETL / ELT pipelines to ingest, transform, clean, and load data from sources into central platforms / repositories
+ Structure and provision data to support modeling and data discovery, including filtering, tagging, joining, parsing and normalizing data
+ Collaborate with Data/AI Product Owner and Scrum Master to share progress on engineering activities and inform of any delays, issues, bugs, or risks with proposed remediation plans
+ Design, develop, and deploy APIs, data feeds, or specific features required by product design and user stories
+ Optimize data workflows to drive high performance and reliability of implemented data products
+ Oversee and support junior engineer with Data/AI Product testing requirements and execution
_Innovation & Team Collaboration:_
+ Stay current on industry trends, emerging technologies, and best practices in data product engineering
+ Contribute to a team culture of innovation, collaboration, and continuous learning within the product team
**?**
**About You:**
**Key Functional Requirements & Qualifications:**
+ Bachelor's degree in software engineering or related field, or equivalent work experience
+ 3+ years of experience in data product engineering, software engineering, or other related field
+ Understanding of R&D business and data environment preferred
+ Excellent communication and collaboration skills
+ Working knowledge and comfort working with Agile methodologies
**Key Technical Requirements & Qualifications:**
+ Proficiency with data analytics and statistical software (incl. SQL, Python, AWS, Snowflake, DBT, Airflow, Informatica)
+ Deep understanding and proven track record of developing data pipelines and workflows
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
Data Engineer
Posted 4 days ago
Job Viewed
Job Description
HYDERABAD OFFICE INDIA
Job Description
Key Responsibilities:
+ Productionize pipelines for large, complex data sets which meet technical and business requirements.
+ Partner with data asset managers, architects, and development leads to ensure a sound technical solution.
+ Follow, and contribute to, coding standards and best practices to ensure pipelines and components are efficient, robust, cost effective and reusable.
+ Identify, design, and implement internal process improvements.
+ Optimize Spark jobs for performance and cost. Tune configurations, minimize shuffles, and leverage advanced techniques like broadcast joins, caching, and partitioning.
+ Ensure data quality, reliability, and performance by implementing best practices for data validation, monitoring, and optimization.
+ Monitor and troubleshoot data pipelines and workflows to ensure seamless operation.
+ Stay updated on the latest Databricks features, tools, and industry trends to continuously improve data engineering practices.
+ Strong understanding of distributed computing concepts and big data processing.
+ Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Job Qualifications
+ Strong skills with Python, SQL, Delta Lake, Databricks, Spark/Pyspark, Github and Azure.
+ You will be expected to Attain and/or maintain technical certifications related to the role (Databricks, Azure)
+ Ability to use and implement CI/CD and associated tools such as Github Actions, SonarQube, Snyk
+ Familiarity or experience in one or more modern application development framework methods and tools (e.g. Disciplined Agile, Scrum).
+ Familiarity or experience with a range of data engineering best practices for development including query optimization, version control, code reviews, and documentation
+ The ability to build relationships and work in diverse, multidisciplinary teams
+ Excellent communication skills with business intuition and ability to understand business systems, versatility, and willingness to learn new technologies on the job
About us
We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide. Visit to know more. We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
"At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do. All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application."
Job Schedule
Full time
Job Number
R000135017
Job Segmentation
Experienced Professionals
Data Engineer

Posted 6 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation.
Technical Professional to Design, Build and Manage the infrastructure and systems that enable organizations to collect, process, store, and analyze large volumes of data. He will be the architects and builders of the data pipelines, ensuring that data is accessible, reliable, and optimized for various uses, including analytics, machine learning, and business intelligence.
In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation.
Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset-a true data alchemist.
Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made - and your lifecycle management expertise will ensure our data remains fresh and impactful.
Technical Professional to Design, Build and Manage the infrastructure and systems that enable organizations to collect, process, store, and analyze large volumes of data. You will be the architects and builders of the data pipelines, ensuring that data is accessible, reliable, and optimized for various uses, including analytics, machine learning, and business intelligence.
**Key Responsibilities:**
+ **Designing and Building Data Pipelines:** Creating robust, scalable, and efficient ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) pipelines to move data from various sources into data warehouses, data lakes, or other storage systems. Ingest data which is structured, unstructured.
+ **Data Storage and Management:** Selecting and managing appropriate data storage solutions (e.g., relational databases, S3, ADLS, data warehouses like SQL, Databricks.
+ **Data Architecture:** Understand target data models, schemas, and database structures that support business requirements and data analysis needs.
+ **Data Integration:** Connecting disparate data sources, ensuring data consistency and quality across different systems.
+ **Performance Optimization:** Optimizing data processing systems for speed, efficiency, and scalability, often dealing with large source systems datasets.
+ **Data Governance and Security:** Implementing measures for data quality, security, privacy, and compliance with regulations.
+ **Collaboration:** Working closely with Data Scientists, Data Analysts, Business Intelligence Developers, and other stakeholders to understand their data needs and provide them with clean, reliable data.
+ **Automation:** Automating data processes and workflows to reduce manual effort and improve reliability.
So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
**Required Technical and Professional Expertise**
+ 4 - 6 years of experience as an Data Engineer .
+ ETL/ELT Tools: Experience with data integration tools and platforms like SSIS, Azure Data Factory
+ SSIS Package Development
+ Control Flow: Designing and managing the workflow of ETL processes, including tasks, containers, and precedence constraints.
+ Data Flow: Building pipelines for extracting data from sources, transforming it using various built-in components
+ SQL Server Management Studio (SSMS): For database administration, querying, and managing SSIS packages.
+ SQL Server Data Tools (SSDT) / Visual Studio: The primary IDE for developing SSIS packages.
+ Scripting (C# or VB.NET): For advanced transformations, custom components, or complex logic that cannot be achieved with built-in SSIS components.
+ Programming Languages: Advantage if experience on either of Python / Java Scala basics
+ Cloud Platforms: Proficiency with cloud data services from providers like SSIS, Microsoft Azure (Azure Data Lake, Azure Data Factory) etc
+ Data Warehousing: Understanding of data warehousing concepts, dimensional modelling, and schema design.
+ Version Control: Familiarity with Git and collaborative development workflows.
**Preferred Technical and Professional Experience**
+ Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer

Posted 6 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Data Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and implementing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes
+ Design, develop, and maintain data solutions for data generation, collection, and processing
+ Be a key team member that assists in design and development of the data pipeline
+ Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
+ Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
+ Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
+ Implement data security and privacy measures to protect sensitive data
+ Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
+ Collaborate and communicate effectively with product teams
+ Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
+ Identify and resolve complex data-related challenges
+ Adhere to standard processes for coding, testing, and designing reusable code/component
+ Explore new tools and technologies that will help to improve ETL platform performance
+ Participate in sprint planning meetings and provide estimations on technical implementation
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / bachelor's degree and 5 to 9 years' experience in Computer Science, IT or related field
**Must Have:**
+ Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), Snowflake, workflow orchestration, performance tuning on big data processing
+ Proficiency in data analysis tools (eg. SQL)
+ Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores
+ Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
+ Strong understanding of data modeling, data warehousing, and data integration concepts
+ Proven ability to optimize query performance on big data platforms
+ Experience in Real World Data/ Health Care
**Preferred Qualifications:**
+ Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
+ Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
+ Strong understanding of data governance frameworks, tools, and best practices.
+ Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
**Professional Certifications:**
+ Databricks Certificate preferred
+ AWS Data Engineer/Architect
**Soft Skills:**
+ Excellent critical-thinking and problem-solving skills
+ Strong communication and collaboration skills
+ Demonstrated awareness of how to function in a team setting
+ Demonstrated presentation skills
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data Engineer

Posted 6 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**(Data Engineer)**
**What you will do**
Let's do this. Let's change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes
**Roles & Responsibilities:**
Ø Design, develop, and maintain data solutions for data generation, collection, and processing
Ø Be a key team member that assists in design and development of the data pipeline
Ø Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
Ø Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Ø Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
Ø Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Ø Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Ø Implement data security and privacy measures to protect sensitive data
Ø Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Ø Collaborate and communicate effectively with product teams
Ø Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
Ø Identify and resolve complex data-related challenges
Ø Adhere to best practices for coding, testing, and designing reusable code/component
Ø Explore new tools and technologies that will help to improve ETL platform performance
Ø Participate in sprint planning meetings and provide estimations on technical implementation
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
**Basic Qualifications and Experience:**
+ Master's degree / Bachelor's degree and 5 to 9 years Computer Science, IT or related field experience
**Functional Skills:**
**Must-Have Skills**
+ Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
+ Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
+ Excellent problem-solving skills and the ability to work with large, complex datasets
+ Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
**Good-to-Have Skills:**
+ Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
+ Strong understanding of data modeling, data warehousing, and data integration concepts
+ Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
**Soft Skills:**
+ Excellent critical-thinking and problem-solving skills
+ Strong communication and collaboration skills
+ Demonstrated awareness of how to function in a team setting
+ Demonstrated presentation skills
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data Engineer

Posted 6 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**What you will do**
As a Data Engineer, you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes
+ Design, develop, and maintain data solutions for data generation, collection, and processing
+ Be a key team member that assists in design and development of the data pipeline
+ Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
+ Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
+ Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
+ Implement data security and privacy measures to protect sensitive data
+ Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
+ Collaborate and communicate effectively with product teams
+ Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
+ Identify and resolve complex data-related challenges
+ Adhere to best practices for coding, testing, and designing reusable code/component
+ Explore new tools and technologies that will help to improve ETL platform performance
+ Participate in sprint planning meetings and provide estimations on technical implementation
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years of Computer Science, IT or related field experience.
**Must-Have Skills:**
+ Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL),Snowflake, workflow orchestration, performance tuning on big data processing
+ Proficiency in data analysis tools (eg. SQL)
+ Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores
+ Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
+ Strong understanding of data modeling, data warehousing, and data integration concepts
+ Proven ability to optimize query performance on big data platforms
**Preferred Qualifications:**
+ Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
+ Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
+ Strong knowledge on Oracle / SQL Server, Stored Procedure, PL/SQL,
+ Knowledge on LINUX OS
+ Knowledge on Data visualization and analytics tools like Spotfire, PowerBI
+ Strong understanding of data governance frameworks, tools, and best practices.
+ Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
**Professional Certifications:**
+ Databricks Certificate preferred
+ AWS Data Engineer/Architect
**Soft Skills:**
+ Excellent critical-thinking and problem-solving skills
+ Strong communication and collaboration skills
+ Demonstrated awareness of how to function in a team setting
+ Demonstrated presentation skills
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team. careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data Engineer

Posted 6 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**What you will do**
As a Data Engineer, you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes
Roles & Responsibilities:
+ Design, develop, and maintain data solutions for data generation, collection, and processing
+ Be a key team member that assists in design and development of the data pipeline
+ Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
+ Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
+ Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
+ Implement data security and privacy measures to protect sensitive data
+ Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
+ Collaborate and communicate effectively with product teams
+ Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
+ Identify and resolve complex data-related challenges
+ Adhere to best practices for coding, testing, and designing reusable code/component
+ Explore new tools and technologies that will help to improve ETL platform performance
+ Participate in sprint planning meetings and provide estimations on technical implementation
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years of Computer Science, IT or related field experience.
**Must-Have Skills:**
+ Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL),Snowflake, workflow orchestration, performance tuning on big data processing
+ Proficiency in data analysis tools (eg. SQL)
+ Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores
+ Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
+ Strong understanding of data modeling, data warehousing, and data integration concepts
+ Proven ability to optimize query performance on big data platforms
**Preferred Qualifications:**
+ Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
+ Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
+ Strong knowledge on Oracle / SQL Server, Stored Procedure, PL/SQL,
+ Knowledge on LINUX OS
+ Knowledge on Data visualization and analytics tools like Spotfire, PowerBI
+ Strong understanding of data governance frameworks, tools, and best practices.
+ Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
**Professional Certifications:**
+ Databricks Certificate preferred
+ AWS Data Engineer/Architect
**Soft Skills:**
+ Excellent critical-thinking and problem-solving skills
+ Strong communication and collaboration skills
+ Demonstrated awareness of how to function in a team setting
+ Demonstrated presentation skills
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team. careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Data Engineer

Posted 6 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Data Engineer
**What you will do**
Let's do this. Let's change the world.
Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value - supporting our mission "To Serve Patients".
The Amgen India Digital Technology & Innovation Data Engineer for Clinical Data Hub will be responsible for end-to-end design, development and DevOps of data pipelines for clinical data domain across technology platform and stacks.
This role will leverage the latest technology to develop advanced data engineering pipeline and system solution to enable advanced data analytics for Amgen Clinical trial design and development. across various global clinical development business functions.
As the results, comprehensive clinical domain datasets and systems are up-to-date and ready for advanced clinical trial design and development insight generation analytics
+ Design, develop, and deploy data pipeline for clinical domain dataset
+ As an infrastructure programmer, continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench)
+ Design and build various reusable program components using innovative technology (NLP, AI, Python, R, etc) to transform and harmonize clinical dataset for insight generation
+ Collaborate with Data Architects, Business SME's, and Data Scientists to capture the business requirement and translate into Agile product backlog
+ Serve as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI based system production DevOps
+ Align to best practices for coding, testing, and designing reusable code/component
+ Explore new tools and technologies that will help streamline data pipeline and add new durable capability for clinical development
+ Participate in sprint planning meetings and provide estimations on technical implementation
+ Collaborate and communicate effectively with the product teams
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**What we expect of you**
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Must Have Skills:**
+ Advanced skills in SQL, Python, and R languages programing; AWS cloud technology and databricks data lake technology stacks
+ Proficient skills and knowledge on common AI/Machine Learning technologies.
+ Data modeling skills, and software development lifecycle knowledge and standard processes
+ Learning ability of new technology in the information field
+ Skill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technology
**Good to Have Skills:**
+ Work experience in the biotechnology or pharmaceutical industry.
+ Experience using and adopting Scaled Agile Framework (SAFe)
+ Ability to work effectively in a fast-paced, dynamic environment.
+ Experience with data modeling for both relationship databases, hands-on experience with SQL (PostgreSQL and Hive SQL is preferred)
+ Experience with UI Visualization technology (Dash, RSConnect, Tableau preferred)
+ Knowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures
**Certification:**
+ SAFe for Teams certification (preferred)
**Soft Skills:**
+ Strong communications skills in writing, speaking, presenting and time management skills
+ Strong transformation and change management experience.
+ Exceptional collaboration and communication skills.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented with a focus on achieving team goals.
+ Strong presentation and public speaking skills.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data Engineer

Posted 6 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Data Engineer
**What you will do**
Let's do this. Let's change the world. In this vital role you will be responsible for "Run" and "Build" project portfolio execution, collaborate with business partners and other IS service leads to deliver IS capability and roadmap in support of business strategy and goals. Real world data analytics, visualization and advanced technology play a vital role in supporting Amgen's industry leading innovative Real World Evidence approaches.
The role is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes
**Roles & Responsibilities:**
+ Design, develop, and maintain data solutions for data generation, collection, and processing
+ Be a key team member that assists in design and development of the data pipeline
+ Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
+ Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
+ Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
+ Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
+ Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
+ Implement data security and privacy measures to protect sensitive data
+ Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
+ Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
+ Identify and resolve complex data-related challenges
+ Adhere to best practices for coding, testing, and designing reusable code/component
+ Explore new tools and technologies that will help to improve ETL platform performance
+ Participate in sprint planning meetings and provide estimations on technical implementation
+ Collaborate and communicate effectively with product teams
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years' of experience in Computer Science, IT or related field
**Must-Have Skills:**
+ Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
+ Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training
+ Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
+ Excellent problem-solving skills and the ability to work with large, complex datasets
+ Strong understanding of data governance frameworks, tools, and best practices.
+ Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
**Preferred Qualifications:**
**Good-to-Have Skills:**
+ Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
+ Strong understanding of data modeling, data warehousing, and data integration concepts
+ Knowledge of Python/R, Databricks, SageMaker, OMOP.
**Professional Certifications:**
+ Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
+ Certified Data Scientist (preferred on Databricks or Cloud environments)
+ Machine Learning Certification (preferred on Databricks or Cloud environments)
+ SAFe for Teams certification (preferred)
**Soft Skills:**
+ Excellent critical-thinking and problem-solving skills
+ Strong communication and collaboration skills
+ Demonstrated awareness of how to function in a team setting
+ Demonstrated presentation skills
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data Engineer

Posted 6 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**What you will do**
Let's do this. Let's change the world. In this vital role you will be member of the technical team that develops and implements technology strategies, solutions, and services to support Amgen's Global Medical business function. As the Software Engineer, you will be the primary accountable for developing integration of several capabilities and the point of contact for the business & technology product owner and other stakeholders on integration pipelines. This role will work closely with business and technology teams to efficiently build, develop, deploy, scale, and operate technology solutions and software products and be responsible for development and lifecycle management of integration pipelines. The Senior Associate will be a responsible member of a high-performing Agile Product Team consisting of business analysts, software engineers, solution architects, system configurators, etc.
**Roles & Responsibilities:**
+ Be an accountable member on the identified agile product team and portfolio of software applications
+ Enable the technology ecosystem for Global Medical Data and Analytics platform team and ensure that the platforms meet their business needs and enterprise technology standards
+ Implement a robust DevOps pipeline for the product using Amgen's CI/CD frameworks and tools
+ Development to deployment of data integration User Stories, Data pipelines and APIs using city planning technology using tools like databricks, MuleSoft, AWS, salesforce connectors, Python, GIT
+ Support Lifecycle management and ownership of technology assets.
+ Develop cross-functional collaborations with platform teams to maintain enterprise standards
+ Drive a Product First attitude amongst the team and peers with a goal towards global expansion of the product's capabilities
+ Drive an attitude of excellence in running robust, reliable, and secure software products following Amgen's software development, operating procedures, and change management requirements
+ Unblock and drive engagement to improve results delivery for the team and the organization
+ Drive external software product and service partners to deliver excellence
+ Develop and mentor the team of engineers, architects, and data scientists for higher performance, and individual career growth. Act as a role model demonstrating leadership behaviors
+ Partner with leadership in the Global Medical organization to define, develop, and implement technology solutions aligned with the organization's goals and objectives, with a focus on increasing the effectiveness of the organization.
+ Establish and maintain successful relationships with internal DTI platform and shared services product teams, strategic external partners, industry bodies, to learn, influence, and attract the best talent.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years of Information Systems experience.
**Preferred Qualifications:**
**Functional Skills**
+ 5+ years of IT Industry work experience in analysis, design, development, testing and maintenance of software applications in the Health & Life Sciences industry
+ 2+ years' of experience supporting Medical Affairs business teams
+ Experience working on major programs/projects that involve multiple partners and external vendors
+ Experience in lifecycle management of technology applications and data pipelines
+ Experience working in Scaled Agile Framework (SAFe), especially in regulated setting including ability to lead the transformation of teams from a service based to a product-based model
+ Working experience on Enterprise Datalake(EDL) and technologies like Databricks, AWS, Mulesoft, SQL, Spark, Python, API, REACT framework, GITLab, MLOps etc.
+ In-depth experience in all aspects of SDLC from requirements, design, testing, data analysis and Change Control process combined with experience developing project charters, statement of work and project financials
+ Experience with data warehousing and EDL technologies like databricks to build integrations across multiple systems
+ An ongoing commitment to learning and staying at the forefront of AI/ML advancements.
+ Experience or working knowledge of SaaS solutions like Salesforce, Veeva, AWS, etc.
+ Experience within a highly regulated pharmaceutical or technology organization, with the ability to ensure compliance with industry regulations and standard methodologies for data integrity, security, and audit readiness.
+ Experience driving a collaborative culture that values technical depth, accountability, and customer service.
+ Strong problem-solving and analytical skills.
+ Demonstrated ability to work effectively in a fast-paced, dynamic environment.
+ Experience handling vendor relationships and working with external partners or consultants to ensure optimal performance, support, and development of the ServiceNow platform
**Professional Certifications**
+ Preferred certification in SAFe for Teams
+ Preferred certification in EDL tools like databricks
+ Preferred AWS certifications
**Soft Skills:**
+ Excellent leadership skills with the ability to work in collaborative teams and cultivate talent.
+ Demonstrated ability to influence decisions with business & technology collaborators & leadership
+ Data-driven decision making
+ Excellent verbal and written communication skills for technical and non-technical audiences of various levels in the organization.
+ High degree of initiative and self-motivation
+ Ability to handle multiple priorities successfully
+ Team-oriented with a focus on achieving team goals
+ Strong presentation and public speaking skills
+ Excellent analytical and troubleshooting skills
+ Ability to work effectively with global, virtual teams
**Equal opportunity statement**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.