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 modern 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 modern 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 & Modern 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 processes (sprint planning, estimation, delivery) + Document pipelines, models, and technical decisions **Basic Qualifications** + Master's or Bachelor's degree in Computer Science, Engineering, Information Systems, or related field + **5-8 years** of experience in data engineering or related technical role **Must-Have Technical Skills** + Strong experience with **SQL** and relational databases + Programming experience in **Python (required), PySpark preferred** + Hands-on experience with **Databricks / Apache Spark** + Understanding of **data modeling and data warehousing concepts** **Preferred / Strategic Skills (Aligned to Future Data Strategy)** + Certification: + Relevant certifications in Databricks, cloud platforms (AWS/Azure/GCP), or modern data engineering technologies are a plus + Experience with: + **Delta Lake / Lakehouse architectures** + **Data Fabric / Data Mesh concepts** + Familiarity with: + **Streaming data (Kafka, event-driven pipelines)** + **Data orchestration tools (Airflow, Databricks Workflows)** + Exposure to: + **AI/ML data pipelines and feature engineering** + **Unstructured data processing** + Understanding of: + **Data governance frameworks and cataloging tools** + **Security and privacy controls for sensitive data** **Functional Skills** + Solid problem-solving and analytical thinking + Ability to work with large, complex datasets + Effective communication with both technical and non-technical stakeholders + Ability to operate in a fast-paced Agile environment

📌 Data Engineer (Hyderabad)
🏢 AMGEN
📍 Hyderabad