AWS Data Engineer

Job Title:

Experience Required:

Location:

Shift Timings:

Duration: 6 to 12 months (Contract)

Pay:

Interview Process:

AWS Data Engineer

Key Responsibilities:

• Design, build, and maintain scalable and efficient

  data pipelines

  on AWS.
• Integrate diverse data sources using

  AWS Glue

  ,

  Athena

  ,

  Redshift

  , and other AWS services.
• Perform

  data analysis

  , data validation, and ensure data quality and integrity across pipelines.
• Implement

  automated and functional testing

  of data workflows and transformations.
• Monitor, troubleshoot, and

  debug data pipeline issues

  , ensuring high performance and reliability.
• Optimize data processing jobs for

  performance and scalability

  .
• Collaborate with stakeholders to understand data requirements and deliver solutions aligned with business needs.
• Contribute to the development of

  Lake House architecture

  and best practices.

Required Skills:

• Strong proficiency in

  SQL

  ,

  Apache Spark

  , and

  Python

  .
• Hands-on experience with

  AWS Glue, Athena, and Redshift

  .
• Proven experience in building and managing

  ETL/ELT pipelines

  .
• Experience with

  data profiling, quality checks, and testing automation

  .
• Strong understanding of

  performance tuning

  techniques for large-scale data systems.
• Familiarity with

  Lake House architecture

  and related data modeling principles.

Note: Only candidates with 5 to 7 years of relevant work experience and work from 1 PM to 10 PM in the location mentioned above (Pune), should apply.