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Data Engineering Specialist

3 weeks ago

Anand, Gujarat, India beBeeData Full time ₹ 18,00,000 - ₹ 25,00,000

Job Title: Data Engineering Specialist

About the Role:

This position involves designing data pipelines using AWS Glue, PySpark, and Step Functions. The ideal candidate should have a solid understanding of data engineering principles and be able to implement ETL/ELT processes for ingesting, transforming, and delivering data from multiple sources.

Key Responsibilities:
  • Data Pipeline Design: Utilize AWS Glue, PySpark, and Step Functions to create efficient and scalable data pipelines.
  • ETL/ELT Processes: Implement processes for ingesting, transforming, and delivering data from various sources.
  • Storage Solutions: Manage storage solutions using Amazon S3.
  • Code Development: Write reusable and scalable Python code for data engineering workflows.
  • Testing: Implement unit and integration tests using pytest.
  • Collaboration: Collaborate with team members using Git/GitHub for version control and CI/CD integration.
  • Documentation: Create technical documentation for pipelines and workflows.
  • Troubleshooting: Troubleshoot issues related to data pipelines and AWS services.
Requirements:

The ideal candidate will possess the following qualifications:

  • Data Engineering Experience: 5-10 years of experience in the AWS ecosystem.
  • Coding Skills: Strong coding skills in Python with experience in PySpark.
  • AWS Knowledge: Hands-on experience with AWS Glue, Step Functions, and S3.
  • Test Automation: Proficiency in pytest for test automation.
  • Git/GitHub: Solid understanding of Git/GitHub workflows.
  • Communication Skills: Strong communication skills with a focus on documentation and knowledge sharing.