Senior Data Engineer

4 weeks ago


Solapur, India GS Lab Full time

Experience Range : 7- 12 Years


Responsibilities:

  • Design, implement and maintain scalable ETL jobs and data pipelines for processing and analyzing large data sets
  • Build warehouses, datalakes and integrations with CRMs and analytics tools.
  • Build and maintain data pipelines using Python for data extraction, transformation and loading (ETL) workflows.
  • Ensure high performance, scalability, and security of applications.
  • Optimize and refactor existing code for improved efficiency and maintainability.
  • Write efficient, reusable, and testable code following best practices and coding standards.
  • Monitor, troubleshoot and improve data workflows and pipeline performance.


Requirements:

  • Proven experience as a Data Engineer or similar role.
  • Deep expertise in Python for creating, automating, and optimizing ETL jobs and data pipelines.
  • Strong experience with AWS services related to data engineering such as Glue, S3, Athena, Lambda, Kinesis, MSK, EventBridge, etc.
  • Good understanding of backend development, RESTful APIs
  • Experience with containerization and orchestration tools.
  • Proficiency in database management (e.g., SQL, ORM techniques).
  • Experience in software development methodologies like Agile/Scrum.
  • Excellent problem-solving skills and attention to detail.
  • Good to have - Knowledge on Python web frameworks such as Flask, FastAPI or Django


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