Sr Associate Data Engineer at Amigen

Hyderabad, Andhra Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

10 Jan, 26

Salary

0.0

Posted On

12 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Processes, Data Modeling, Python, SQL, Data Governance, Semantic Modeling, Cloud Data Platforms, Data Integration, Big Data Technologies, Generative AI, Data Pipelines, Collaboration, Data Analysis, Agile Methodologies, Data Quality

Industry

Biotechnology Research

Description

Career Category Information Systems Job Description 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 play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative demonstrates innovative technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content. The role is responsible for sourcing and analyzing data and supporting designing, building, and maintaining the data pipelines, and data models including semantic models that enable structured, reusable, and ontology-compliant data representations to drive business actions and automation. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture, ETL processes, and transform raw data into semantically enriched formats that support AI, analytics, and regulatory submissions. Roles & Responsibilities: Design and build conceptual and logical data models, including 3NF schemas and Entity Relationship Diagrams (ERDs) using tools like Lucidchart. Transform structured and unstructured data into reusable semantic bricks aligned with enterprise vocabularies and taxonomies. Collaborate with cross-functional teams to support semantic ingestion, transformation, and integration of models; contribute to SPARQL and SQL script generation for ontology-to-relational mapping. Identify, extract, and integrate required business data from Operations systems residing in modern cloud-based architectures. Design, develop, test and maintain scalable data pipelines, ensuring data quality via ETL/ELT processes. Schedule and manage workflows to ensure pipelines run on schedule and are monitored for failures. Implement data integration solutions and manage end-to-end pipeline projects, including scope, timelines, and risk. Reverse-engineer schemas and explore source system tables to map local representations of target business concepts. Navigate application UIs and backends to gain business domain knowledge and detect data inconsistencies. Break down information models into fine-grained, business-contextualized data components. Work closely with multi-functional teams, including product teams, data architects, and business SMEs, to understand requirements and design solutions. Participate in KT sessions and maintain confluence documentation for semantic processes and architecture. Support end-to-end regulatory workflows by ensuring semantic consistency and traceability across data domains. Create and maintain data models, dictionaries, and documentation to ensure accuracy and consistency. Adhere to SOPs, GDEs, and standard methodologies for coding, testing, and reusable component design. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 3 to 7 years of Computer Science, IT or related field experience OR Bachelor’s degree and 5 to 9 years of Computer Science, IT or related field experience OR Diploma and 7 to 11 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills: Hands-on experience with data practices, technologies, and platforms, such as Databricks, Python, Gitlab, LucidChart etc Proficiency in data analysis tools (eg. SQL) and experience with data sourcing tools Understanding of data governance frameworks, tools, and standard methodologies. Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA) Data Modelling experience with proficiency in conceptual & logical data modelling Understanding of ontology design, and semantic modelling. Ability to work in agile environments and collaborate across matrixed teams. Knowledge of data lifecycle management, data governance, and metadata standards. Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python/R, Databricks, cloud data platforms Good-to-Have Skills: Proficiency in SPARQL, SQL, Lucidchart, and TopBraid Composer. Experience with semantic layer platforms (e.g., MarkLogic, RDF stores). Understanding of GxP compliance and pharmaceutical data standards. Familiarity with regulatory data domains (e.g., CMC, Batch/Lot, Composition). Experience with ETL tools and various Python packages related to data processing, machine learning model development Professional Certifications Preferable to have Semantic Web Developer Certification (W3C), Certified Knowledge Engineer (CKE) Certified Data Engineer / Data Analyst (preferred on Databricks) 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 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. 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. . Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen

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Responsibilities

The role involves designing, building, and maintaining data pipelines and models to support regulatory submission content automation. The candidate will collaborate with cross-functional teams to ensure data quality and semantic consistency across data domains.