Senior Data Engineer: Mainframe & Cloud Integration

Senior Data Engineer Mainframe & Cloud Integration

About the Role

Senior Data Engineer

You will work on high-volume, mission-critical data workflows, ensuring performance, scalability, and reliability across systems. Prior airline industry experience is a plus.

Key Responsibilities

• Design, develop, and maintain data pipelines between mainframe systems and cloud platforms.
• Work extensively with

  DB2

  ,

  COBOL

  ,

  JCL

  , and

  Batch Programming

  for high-volume data processing.
• Implement solutions for

  data extraction, transformation, and loading (ETL)

  to and from

  AWS S3

  and

  Azure Data Factory

  .
• Optimize mainframe batch processes for efficiency and scalability.
• Ensure data quality, security, and compliance across platforms.
• Collaborate with cross-functional teams to support business intelligence, analytics, and operational reporting needs.
• Troubleshoot and resolve complex data processing issues in both mainframe and cloud environments.

Required Skills & Qualifications

• 8+ years

  of hands-on experience in Data Engineering with strong mainframe expertise.
• Proficiency in

  DB2

  ,

  COBOL

  ,

  JCL

  , and

  Batch Programming

  .
• Experience with

  AWS S3

  and

  Azure Data Factory

  for cloud-based data integration.
• Proven ability to process and optimize

  large volumes of data

  efficiently.
• Strong SQL skills and understanding of relational database concepts.
• Excellent problem-solving skills and ability to work under tight deadlines.
• Airline industry experience is highly desirable.

Preferred Skills

• Knowledge of modern data lake or data warehouse architectures.
• Familiarity with DevOps, CI/CD pipelines, and version control (e.g., Git).
• Experience with performance tuning in both mainframe and cloud environments.