1410 Database Developers jobs in Hyderabad

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

**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

Data Engineer
_corporate_fare_ Google _place_ Hyderabad, Telangana, India; Gurugram, Haryana, India; +3 more; +2 more
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Hyderabad, Telangana, India; Gurugram, Haryana, India; Bengaluru, Karnataka, India; Pune, Maharashtra, India** .
**Minimum qualifications:**
+ Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience.
+ 3 years of experience with distributed data processing frameworks and modern Google Cloud Platform (GCP) investigative and transactional data stores (e.g., BigQuery, Cloud SQL, AlloyDB).
+ Experience in Google Cloud Platform (GCP).
**Preferred qualifications:**
+ Experience in working with data warehouses, including technical architectures, infrastructure components, ETL/ELT processes, reporting and analytics tools, environments, and data structures.
+ Experience with encryption techniques like symmetric, and asymmetric encryption, Hardware Security Modules, and envelop encryption, and the ability to implement secure key storage using Key Management System.
+ Experience in building availability applications with technologies such as NoSQL, MongoDB, SparkML, and TensorFlow.
+ Experience in Big Data, information retrieval, data mining, or machine learning.
+ Experience with IaC and CI/CD tools like Terraform, Ansible, Jenkins etc.
+ Experience in architecting, developing software, or Big Data solutions in virtualized environments.
**About the job**
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes 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. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines, and troubleshoot potential platform/product tests. 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 the 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 appropriate 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 various project requirements and organize them into goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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:

The Data Engineer position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) organization. You'll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen's Applied AI & Automation Footprint.
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 in Process Intelligence technologies, domain expertise in SAP ECC or S/4 Hana, Python, Databricks, and AWS Data Services.
**Roles & Responsibilities:**
+ Collaborate with Data Architects, Business SMEs, and automation engineers to perform data integration, create data models, design and develop dashboards and action flows
+ Run discovery workshops with various business stakeholders to Model and design processes using BPMN
+ Perform process and root cause analysis to identify metrics & KPIs
+ Use Process Copilots/AI assistants to speed extraction, modeling, analysis and surface insights.
+ Stay current with the latest AI/ML and GenAI tooling and actively contribute to internal knowledge-sharing forums
**Basic Qualifications and Experience:**
+ Any degree and 5 to 9 years of Computer Science, IT or related field experience
**Functional Skills:**
**Must-Have Skills (Not more than 3 to 4):**
+ Hands-on experience with one or more Process Intelligence tools like Celonis
+ Domain knowledge expertise with multiple SAP processes
+ Knowledge of BPM tools and their standard practices
+ Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
+ Hands-on experience scripting languages (e.g Python)
+ Knowledge of RAG pipelines & prompt engineering
+ 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)
**Good-to-Have Skills:**
+ Experience with BI/Visualization tools, RPA Tools (e.g UiPath)
+ Understanding of workflow tools (e.g SAP BPA)
+ Good understanding of data modeling, data warehousing, and data integration concepts
+ Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
+ Knowledge of agentic AI or agent-based automation such as AWS BDA, OpenAI, Langchain, Langgraph
**Preferred Professional Certifications**
+ Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
+ Lean Six Sigma Green Belt
**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
**Shift Information:**
This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.
**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.

As a Data Engineer at Amgen, you will be responsible for designing, building, and maintaining the company's data infrastructure and systems. You will collaborate with cross-functional teams to understand data requirements, develop data pipelines, implement data integration processes, and ensure data quality and integrity. Your expertise in data modeling, ETL processes, and database technologies will contribute to the effective management and utilization of data for insights and decision-making.
**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 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 and Experience:**
+ Master's degree and 1 to 3 years of Computer Science, IT or related field experience OR
+ Bachelor's degree and 3 to 5 years of 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

**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 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 database 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
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's/ Bachelor's degree and 5 - 9 years of Computer Science, IT or related field experience
**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)
**Soft Skills:**
+ Excellent critical-thinking and problem-solving skills
+ Good 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.

**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.
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**
**Role Description:**
We are seeking an experienced Data Engineer for the development and implementation of our data strategy. The ideal candidate possesses a strong blend of technical expertise and data-driven problem-solving skills. As a Data Engineer, you will play a crucial role in building, and optimizing our data pipelines and platforms in a SAFE Agile product team.
**Roles & Responsibilities:**
+ Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.
+ Deliver for data pipeline projects from development to deployment, managing, timelines, and risks.
+ Ensure data quality and integrity through rigorous testing and monitoring.
+ Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
+ Work closely with product team, and stakeholders to understand data requirements.
+ Adhere to data engineering best practices and standards.
+ Experience developing in an Agile development environment, and comfortable with Agile terminology and ceremonies.
+ Familiarity with code versioning using GIT, Jenkins and code migration tools.
+ Exposure to Jira or Rally.
+ Stay up to date with the latest data technologies and trends.
**What we expect of you**
**Basic Qualifications:**
+ Master's degree / bachelor's degree in computer science STEM majors with 5 to 9 years of Information Systems experience
**Must-Have Skills (Not more than 3 to 4):**
+ Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP)
+ Proficiency in Python, PySpark, SQL. Hands on experience with ETL performance tuning.
+ Development knowledge in Databricks.
+ Good analytical and problem-solving skills to address complex data challenges.
**Good-to-Have Skills:**
+ Experienced with data modeling and performance tuning for both OLAP and OLTP databases
+ Experienced working with Apache Spark, Apache Airflow
+ 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
+ Familiarity with SQL/NOSQL database, vector database for large language models
+ Familiarity with prompt engineering, model fine tuning
**Professional Certifications (please mention if the certification is preferred or mandatory for the role):**
+ AWS Certified Data Engineer (preferred)
+ Databricks Certification (preferred)
+ Any SAFe Agile certification (preferred)
**Soft Skills:**
+ Skilled in breaking down problems, documenting problem statements, and estimating efforts.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
+ 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.
+ Team-oriented, with a focus on achieving team goals
**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.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
**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.