Sr. Data Engineer

Job Title: Data Engineer – ETL/ELT & Integration Services (Azure Platform)

Location:

Job Type:

Experience Level:

Department:

Job Summary:

Data Engineer

Key Responsibilities:

• Design, develop, and maintain ETL/ELT data pipelines using

  ADF

  ,

  Synapse Pipelines

  , and

  Informatica

  .
• Implement end-to-end data integration solutions across heterogeneous systems (cloud and on-premises).
• Collaborate with data architects, analysts, and application teams to gather requirements and deliver robust data workflows.
• Utilize Azure services for data ingestion, transformation, orchestration, and monitoring.
• Integrate APIs and enterprise systems using platforms such as

  Solace

  ,

  MuleSoft

  , or

  Dell Boomi

  .
• Optimize data workflows for performance, scalability, and reliability.
• Ensure best practices in data governance, quality, and security.
• Troubleshoot and resolve data pipeline and integration issues promptly.

Required Skills & Qualifications:

• 5+ years of experience in ETL/ELT development and data engineering.
• Strong hands-on experience with

  Azure Data Factory

  ,

  Synapse Pipelines

  , and

  Informatica

  .
• Proficiency in using integration platforms such as

  Solace

  ,

  MuleSoft

  ,

  Dell Boomi

  , or similar.
• Solid understanding of Azure data services, cloud storage, and networking.
• Expertise in SQL and scripting languages (Python preferred).
• Familiarity with CI/CD pipelines, version control (Git), and DevOps practices.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications:

• Azure certifications (e.g.,

  Azure Data Engineer Associate

  ,

  Azure Solutions Architect

  ).
• Experience with real-time data streaming and messaging services (e.g., Azure Event Hubs, Kafka).
• Familiarity with data warehousing and data lake concepts.