Senior Data Engineer

Lahore, PakistanFull-timePosted Jul 15, 2026

Job Summary

We are seeking an experienced AWS Data Migration Engineer to lead and support the migration of data from legacy healthcare systems to AWS-based platforms. The ideal candidate will have strong expertise in healthcare data migration, AWS data services, ETL/ELT processes, and healthcare interoperability standards. This role requires close collaboration with cross-functional teams to ensure secure, accurate, and scalable data migration solutions.

Key Responsibilities

  • Collaborate with clients to gather, analyze, and define business and technical requirements.
  • Work closely with Solution Architects, Business Analysts, Clinical SMEs, and Development teams to define and execute data migration strategies.
  • Design, develop, and maintain scalable data migration pipelines for migrating data from legacy healthcare applications to AWS.
  • Perform data extraction, transformation, cleansing, validation, and loading (ETL/ELT) activities.
  • Ensure migrated data complies with healthcare interoperability standards, regulatory requirements, and client expectations.
  • Conduct data quality assessments, reconciliation, validation, and integrity checks throughout the migration lifecycle.
  • Develop and optimize data processing workflows using AWS services.
  • Maintain comprehensive technical documentation, including migration specifications, data mapping documents, and implementation guides.
  • Troubleshoot migration issues and optimize data migration performance.
  • Collaborate effectively with cross-functional teams to deliver successful migration projects.

Required Skills & Experience

  • 5+ years' experience required in migrating data from legacy healthcare systems to cloud platforms.
  • Strong experience with AWS data services, including:
    • AWS Glue
    • AWS Lambda
    • AWS Step Functions
    • Amazon S3
  • Strong understanding of data engineering concepts, including:
    • Data partitioning
    • Data lakes
    • File formats such as Parquet and Apache Iceberg
  • Hands-on experience with ETL/ELT processes and data transformation pipelines.
  • Knowledge of healthcare interoperability standards and healthcare data models.
  • Experience performing data validation, reconciliation, and quality assurance.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Ability to work collaboratively in a cross-functional, team-oriented environment.

Preferred Qualifications

  • Experience working in healthcare or life sciences organizations.
  • Knowledge of modern cloud data architectures and AWS best practices.
  • AWS certifications are a plus.
  • Experience with Agile delivery methodologies is preferred.

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