CAREER CATEGORY

Information Systems

JOB DESCRIPTION

As a Data Engineer supporting Law data strategy, you will design, build, and
maintain scalable data pipelines that integrate data from legal systems into
Amgen’s enterprise data fabric.

You will enable high-quality, governed datasets that support analytics,
reporting, and emerging AI/ML use cases for Legal and Compliance teams.

This role requires strong hands-on engineering skills, familiarity with up-to-date
data platforms (e.g., Databricks), and the ability to work closely with Legal
stakeholders, Data Architects, and AI/Analytics teams.

Key Responsibilities

Data Engineering & Pipeline Development
Design, develop, and maintain data pipelines to ingest data from legal
systems, third-party tools, and enterprise platforms
Build and optimize ETL/ELT pipelines using contemporary frameworks (Databricks,
Spark)
Implement reliable, scalable, and production-ready data pipelines using
engineering best practices, monitoring, and automated validation frameworks




Integrate structured and unstructured legal data into the enterprise data
fabric
Ensure reliability, scalability, and performance of data pipelines

Databricks & Contemporary Data Platform
Develop pipelines using Databricks (Delta Lake, Spark, notebooks)
Implement data transformation and orchestration workflows
Support migration and modernization of legacy data solutions to cloud-native
platforms
Contribute to reusable data engineering patterns and components
Optimize Delta Lake and Spark workloads for scalable, cost-efficient, and
high-performance enterprise data processing

Data Quality, Governance & Compliance
Implement data quality checks, validation rules, and monitoring
Implement governance, lineage, and security controls for sensitive legal and
compliance datasets
Ensure compliance with data governance, privacy, and legal/regulatory
requirements (e.g., sensitive legal data handling)
Maintain metadata, lineage, and documentation for legal d

📌 Data Engineer Hyderabad
🏢 AMGEN
📍 Hyderabad