1977 Database Developers jobs in Hyderabad

**Minimum qualifications:**
+ Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience.
+ Experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark and hadoop frameworks.
+ Experience in data processing frameworks and Google Cloud Platform with investigative and transactional data stores like BigQuery, CloudSQL, AlloyDB, etc.
+ Experience in Google Cloud Platform.
**Preferred qualifications:**
+ Experience with encryption techniques like symmetric, asymmetric, Hardware Security Module (HSMs) and envelop with ability to implement secure key storage using Key Management System.
+ Experience in working with data warehouses, including technical architectures, infrastructure components, ETL/ELT and reporting tools, environments, and data structures.
+ Experience in building applications with technologies like NoSQL, MongoDB, SparkML, and TensorFlow.
+ Experience with Infrastructure as Code (IaC) and CI/CD tools like Terraform, Ansible, Jenkins, etc.
+ Experience in Big Data, information retrieval, data mining, or Machine Learning.
+ Experience with architecting, developing software, or internet production-grade Big Data solutions in virtualized environments.
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
In this role, you will guide customers on how to store, process, analyze, and explore/visualize data on the Google Cloud Platform (GCP). You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines and troubleshoot platform/product tests. You will have an understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities:**
+ Interact with stakeholders to translate customer requirements into recommendations for solution architectures and advisory services.
+ Engage with technical leads, and partners to lead migration and modernization to Google Cloud Platform (GCP).
+ Design, migrate/build, and operationalize data storage and processing infrastructure using Cloud native products.
+ Develop and implement data quality and governance procedures to ensure the reliability of data.
+ Gather project requirements and organize them into goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Job Location
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
R
Job Segmentation
Experienced Professionals

Job Location
HYDERABAD OFFICE APAC
Job Description
Procter & Gamble is one of the largest FMCG (Fast Moving Consumer Goods) company in the world with strong brands like Pampers, Ariel, Always, Gillette and Oral B just to name a few. For more information about P&G the company and our brands please visit and our career website at pgcareers.com
Are you ready to unleash your technical creativity?
Innovation is the driving effort behind everything we do at P&G. Across the world, you will find thousands of scientists, engineers and developers working in manufacturing plants, innovation centers and distribution facilities.
Overview of the job
This role reports to IT Director and will be located in India with the broader Data Engineering Team.
Your team
About the Data Solutions & Engineering Team:
We take pride in managing the most-valuable asset of company in Digital World, called Data. Our vision is to deliver Data as a competitive advantage for our Business, by building unified data platforms, delivering customized BI tools for managers & empowering insightful business decisions through AI in Data.
In this role, you'll be constantly learning, staying up to date with industry trends and emerging technologies in data solutions. You'll have the chance to work with a variety of tools and technologies, including big data platforms, machine learning frameworks, and data visualization tools, to build innovative and effective solutions.
So, if you're excited about the possibilities of data, and eager to make a real impact in the world of business, a career in data solutions might be just what you're looking for. Join us and become a part of the future of digital transformation.
About P&G IT:
Digital is at the core of P&G's accelerated growth strategy. With this vision, IT in P&G is deeply embedded into every critical process across business organizations comprising 11+ category units globally creating impactful value through Transformation, Simplification & Innovation. IT in P&G is sub-divided into teams that engage strongly for revolutionizing the business processes to deliver exceptional value & growth - Digital GTM, Digital Manufacturing, Marketing Technologist, Ecommerce, Data Sciences & Analytics, Data Solutions & Engineering, Product Supply.
Responsibilities of the role
+ Understand the business requirements and convert into technical design of data pipelines and data models
+ Write code to ingest, transform and harmonize raw data into usable refined models
+ Analyze multiple data sets associated with the use cases in-scope in order to effectively design and develop the most optimal data models and transformation
+ Craft integrated systems, implementing ELT/ ETL jobs to fulfil business deliverables.
+ Performing sophisticated data operations such as data orchestration, transformation, and visualization with large datasets.
+ Coordinate with data asset managers, architects, and development team to ensure that the solution is fit for use and are meeting vital architectural requirements.
+ Demonstrate standard coding practices to ensure delivery excellence and reusability
What we offer:
+ A wide range of challenging manufacturing/engineering assignments in one of the most influential companies in the world. We don't just offer a job; we offer a career with varying assignments and lots of development opportunities
+ An opportunity for you to develop and deliver state of the art technologies supported by multi-million capital investments.
+ Travel opportunities to the project locations to see your design come to life
+ Continuous coaching- you will work with passionate people and receive both formal training as well as day-to-day mentoring from your coach and manager
+ Dynamic and respectful international work environment- employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance.
+ A competitive compensation package, in line with your qualifications and experience
Job Qualifications
Role Requirements
+ At least 3 years of experience in Data Engineering
+ Hands-on experience in building data models, data pipelines, data ingestion, harmonization along with data governance.
+ Hands-on experience in scripting language like Python, R or Scala
+ Backend Development expertise on SQL Database, SQL Data Warehouse or any data warehousing solutions in cloud
+ Hands-on experience of reporting tools like Power BI or Tableau
+ Knowledge in DevOps Tools and CICD tools (e.g. Azure DevOps and Github)
+ Knowledge in cloud technologies (Azure Cloud) - at least 2 years inclusive of software engineering experience.
+ Cloud Native application development using Angular and .Net.
+ Knowledge in Agile or Scrum methodologies with proven track record of successful projects
+ Graduate of Engineering or IT related course
Just so you know:
We are an equal opportunity employer and value diversity at our company. Our mission of Diversity and Inclusion is: "Everyone valued. Everyone included. Everyone performing at their peak".
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
R
Job Segmentation
Experienced Professionals

**Description**
**Who is USP?**
The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide.
At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health.
USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds-regardless of background-to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment.
**Brief Job Overview**
The Data Engineer position is a hands-on non-supervisory role within the Data Strategy & Analytics team. The position is an individual contributor role that will serve a critical function by designing, building, and executing efficient and governed data pipelines. This role is integral to transitioning our development of data assets into production environments. The data engineer will collaborate with the data strategy program manager and data scientists by establishing robust data processing practices and tools in support of a data science capability. The position requires some time overlap for meetings with team members based in other time zones, primarily Eastern Standard Time (EST).
**How will YOU create impact here at USP?**
As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards.
Additionally, USP's People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments.
The Data Engineer has the following responsibilities:
+ Design, build, and implement data pipelines to support advanced use cases for product grade data science products
+ Manage data ingestion, processing and production process as well as manage tools and platforms
+ Integrate external datasets with USP data
+ Interface with internal and external teams of data scientists and data engineers on process development
+ Collaborate with IT to integrate data warehouse, analytics applications, and data science platforms
+ Support transition to agile approaches for data asset development and deployment
+ Support transition to a SDLC approach to data asset and data science product development and deployment
**Who is USP Looking For?**
The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience:
+ Bachelor's Degree in Computer Science, Engineering, Mathematics, or related technical area
+ Minimum 3 years of data engineering specific experience designing, building, and supporting data pipelines
+ Experience in at least one modern relational database
+ Strong core SQL development experience and writing efficient SQL
+ Very strong development ability in Python including experience working with pandas, numpy, scikit-learn, selenium, beautifulsoup, and regex
+ Hands-on experience with ETL/ELT tools and concepts
+ Strong communication and collaboration skills with strength in working in teams
+ Strong problem solving and time management skills
+ Very strong learning agility- ability to pick up new tools and capabilities quickly
**Additional Desired Preferences**
+ Experience with SDLC and Agile work environments
+ Experience working in cloud platforms (AWS, Azure, Google Cloud Platform, etc.)
+ Proven ability to clearly define priorities and focus on delivering work products
+ Ability to handle multiple priorities and complex projects in a fast-paced environment.
+ Substantial experience with Git for version control
+ Core data modeling ability
+ Ability to derive data modeling decisions and data engineering strategy to meet data strategy objectives
+ Direct experience supporting Data Science teams in moving from development to production environments
+ Prior experience in a scientific based industry or related content area a plus (pharma, life sciences, public health, research, etc.)
+ Experience with Apache Spark and/or pySpark
+ Experience working in cloud platforms (AWS, Azure, Google Cloud Platform, etc.)
+ Experience with Continuous Integration and Continuous Delivery (Deployment) software development approach
**Supervisory Responsibilities**
None, this is an individual contributor role.
**Benefits**
USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected.
Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP.
**Job Category** Information Technology
**Job Type** Full-Time

**Who We Are**
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**
Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.
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.
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.
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
+ 6-8 years of experience working as a Data Engineer or in Azure cloud modernization
+ Good experience in Power BI for data visualization and dashboard development
+ Strong experience in developing data pipelines and using tools such as AWS Glue, Azure Databricks, Synapse, or Google Dataproc
+ Proficient in working with both relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB
+ Excellent problem-solving, analytical, and critical thinking skills
+ Ability to manage multiple projects simultaneously while maintaining a high level of attention to detail
+ Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes
Preferred Technical and Professional Experience
+ Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes
+ Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization
+ Cloud platform certification, e.g., AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
+ Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
+ 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.

**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
Let's do this. Let's change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks, with deep domain knowledge of End-to-End (E2E) Regulatory Integrated Product Teams (IPTs) within the biotech or pharmaceutical industry in biotech or life sciences or pharma. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics The ideal candidate brings a strong foundation in data engineering, combined with an understanding of regulatory processes, scientific data requirements, and structured submission formats such as eCTD, IDMP, xEVMPD, and SPL.
**Roles & Responsibilities:**
+ Design, develop, and manage ETL/ELT pipelines to ingest, transform, and deliver regulatory data from diverse source systems.
+ Collaborate with the Regulatory IPT to understand data requirements for global health authority submissions and ensure data readiness.
+ Build and maintain regulatory data models and structured datasets aligned with submission standards (e.g., eCTD structure, IDMP specifications).
+ Enable seamless data integration across regulatory, clinical, and quality platforms, ensuring consistency and traceability.
+ Implement and maintain data validation and quality checks to ensure accuracy, integrity, and compliance of submission data.
+ Support data lineage, metadata tagging, and audit trail capabilities to meet GxP and regulatory requirements.
+ Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
+ Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value
+ Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories.
+ Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle
+ Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions
**Must-Have Skills:**
+ Deep domain knowledge of Manufacturing and/or Process Development and/or Supply Chain in biotech or life sciences or pharma.
+ Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies.
+ Proficiency in workflow orchestration, performance tuning on big data processing.
+ Strong understanding of AWS services
+ Ability to quickly learn, adapt and apply new technologies
+ Familiarity with tools such as Veeva Vault RIM, Argus, ArisGlobal, or other regulatory information systems.
+ Experience with metadata management, data lineage tools, and data quality frameworks.
+ Strong problem-solving and analytical skills
+ Excellent communication and teamwork skills
+ Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.
**Good-to-Have Skills:**
+ Data Engineering experience in Biotechnology or pharma industry
+ Experience in writing APIs to make the data available to the consumers
+ Experienced with SQL/NOSQL database, vector database for large language models
+ Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
**Education and Professional Certifications**
+ Bachelor's degree and 4 to 8 years of Computer Science, IT or related field experience
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals.
+ Ability to learn quickly, be organized and detail oriented.
+ Strong presentation and public speaking skills.
**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 an accommodation.

**Join Amgen's Mission of Serving Patients**
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 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 optimize data pipelines/workflows using Databricks (Spark, Delta Lake) for ingestion, transformation, and processing of large-scale data. A knowledge of Medallion Architecture will be an added advantage.
+ Build and manage graph database solutions (e.g., Neo4j, Stardog, Amazon Neptune) to support knowledge graphs, relationship modeling, and inference use cases.
+ Leverage SPARQL, Cypher, or Gremlin to query and analyze data within graph ecosystems.
+ Implement and maintain data ontologies to support semantic interoperability and consistent data classification.
+ Collaborate with architects to integrate ontology models with metadata repositories and business glossaries.
+ Support data governance and metadata management through integration of lineage, quality rules, and ontology mapping.
+ Contribute to data cataloging and knowledge graph implementations using RDF, OWL, or similar technologies.
+ 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
**·Apply data engineering best practices including CI/CD, version control, and code modularity.**
**·Participate in sprint planning meetings and provide estimations on technical implementation**
**Basic Qualifications:**
+ Master's/Bachelor's degree and 5 to 9 years of Computer Science, IT or related field experience
+ **Must have Skills:**
+ Bachelor's or master's degree in computer science, Data Science, or a related field.
+ Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), python for 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
+ Strong programming skills in **Python** , **PySpark** , and **SQL** .
+ Solid experience designing and querying **Graph Databases** (e.g., Allegrograph, MarkLogic).
+ Proficiency with **ontology languages and tools** (e.g., TopBraid, RDF, OWL, Protégé, SHACL).
+ Familiarity with **SPARQL** and/or **Cypher** for querying semantic and property graphs.
+ Experience working with **cloud data services** (Azure, AWS, or GCP).
+ Strong understanding of **data modeling** , **entity relationships** , and **semantic interoperability** .
**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, 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)
+ Graph-DB related certifications
**Professional Certifications:**
+ AWS Certified Data Engineer preferred
+ Databricks Certificate 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**
**for a career that defies imagination**
Objects in your future are closer than they appear. Join us.
**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.

**Join Amgen's Mission of Serving Patients**
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 deliver actionable insights that drive business decisions.
This role involves working with large datasets, developing reports, supporting and performing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep 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 crucial team member that assists in design and development of the data pipeline
+ Build 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 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
**Basic Qualifications:**
**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
**Preferred Qualifications:**
**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
+ Solid understanding of data governance frameworks, tools, and best practices.
+ Knowledge of data protection regulations and compliance requirements
**Good-to-Have Skills:**
+ Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
+ Good understanding of data modeling, data warehousing, and data integration concepts
+ Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
**Professional Certifications**
+ Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
**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.

**Join Amgen's Mission of Serving Patients**
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.