Lead Data Engineer

5 days ago


Bengaluru Gurugram, India Decision Point Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Key Responsibilities:

  • Design, develop, and maintain scalable and secure ETL pipelines using PySpark, Python, and SQL.
  • Build and orchestrate data workflows leveraging AWS services such as Glue, Lambda, Step Functions, S3, Athena, and Redshift.
  • Perform data profiling, cleansing, and transformation to ensure data quality and consistency.
  • Optimize and tune data pipelines for performance and cost-efficiency.
  • Work with data architects, analysts, and stakeholders to understand data requirements and translate them into technical solutions.
  • Develop and maintain technical documentation for all ETL processes and data flows.
  • Monitor data pipelines and troubleshoot any issues related to performance, failures, or data inconsistencies.
  • Participate in Agile/Scrum development cycles and contribute to sprint planning and retrospectives.

Required Skills & Qualifications:

  • 7+ years of hands-on experience in ETL development and data engineering.
  • Strong programming skills in Python and PySpark.
  • Expert-level knowledge of SQL for complex data manipulation and analysis.
  • Experience with AWS services, including but not limited to:

  • AWS Glue

  • AWS Lambda
  • Amazon S3
  • Amazon Redshift
  • AWS Step Functions
  • Amazon Athena

  • Solid understanding of data warehousing concepts, data modeling, and schema design.

  • Experience working with large-scale distributed data systems and real-time/batch processing.
  • Familiarity with version control tools (e.g., Git) and CI/CD pipelines.
  • Excellent problem-solving and communication skills


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