CAREER CATEGORY

Engineering

JOB DESCRIPTION

Data Engineer :

Job Description

As a Data Engineer supporting 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
Build and optimize databricks 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

Collaboration & Delivery
Work with Legal stakeholders to understand data needs and translate into
technical solutions
Partner with Data Architects to align with enterprise data fabric strategy
Participate in Agile development

📌 Data Engineer Hyderabad
🏢 AMGEN
📍 Hyderabad