HYDERABAD · FULLTIME
Data Engineer
Amgen
Hyderabad · onsite · Posted 58d ago
Sourced from
Undisclosed1–4 yrsfulltimeHyderabad
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Section · 01
About this role
As aData EngineersupportingLaw data strategy, you will design, build, and maintain scalable data pipelines that integrate data from legal systems into Amgensenterprise data fabric.
You will enable high-quality, governed datasets that supportanalytics, reporting, and emerging AI/ML use casesfor 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
- Design, develop, and maintain data pipelines to ingest data fromlegal systems, third-party tools, and enterprise platforms
- Build and optimizeETL/ELT pipelinesusing 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 theenterprise data fabric
- Ensure reliability, scalability, and performance of data pipelines
Databricks Modern Data Platform
- Develop pipelines usingDatabricks (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 withdata governance, privacy, and legal/regulatory requirements(e.g., sensitive legal data handling)
- Maintain metadata, lineage, and documentation for legal datasets
AI Advanced Analytics Enablement
- Build curated datasets that supportAI/ML models and GenAI use cases
- Prepare structured and unstructured datasets for AI/ML and GenAI use cases including document intelligence and semantic search applications
- Enable feature engineering and data preparation for AI applications in Legal (e.g., document analysis, contract insights)
- Collaborate with data scientists and AI teams to ensure data readiness and accessibility
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 Bachelors degree in Computer Science, Engineering, Information Systems, or related field
- 58 yearsof experience in data engineering or related technical role
Must-Have Technical Skills
- Strong experience withSQLand relational databases
- Programming experience inPython (required), PySpark preferred
- Hands-on experience withDatabricks / Apache Spark
- Experience buildingETL/ELT pipelinesfor large-scale datasets
- Familiarity withcloud platforms (AWS, Azure, or GCP)
- Understanding ofdata 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
- Snowflake, Redshift, or enterprise data warehouse platforms
- 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 (documents, legal text)
- Understanding of:
- Data governance frameworks and cataloging tools
- Security and privacy controls for sensitive data (legal/compliance)
Functional Skills
- Strong 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
Sourced from naukri
Section · 02
Skills
data qualityAgileApache SparkData EngineerApache Kafkause casessprintgoogle cloud platformamazon web servicesredshiftapache airflowfeature engineeringDatabricksPythonSQLData WarehousingData GovernancecomplianceSnowflakeETLMicrosoft AzureData ModelingArtificial Intelligence
Section · Company
About Amgen
Amgen
Biotechnology
1.5k+
employees
1980
46 years old
Hyderabad, Telangana
India
About
Amgen operates in the biotechnology sector, developing and delivering advanced medicines to address critical health challenges globally.
Industries
BiotechnologyBiotech & Life sciences
Employee ratings
173 reviews
2.8/ 5
Culture
2.7
Career growth
2.5
Work-life
2.8
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