Leading Data Engineering Expert

2 days ago


Tiruppur, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Expert Data Pipeline Builder

We are seeking a skilled data pipeline expert who excels at building, deploying, and managing robust data pipelines using Python and PySpark.

This role is perfect for someone who enjoys rolling up their sleeves, developing ETL/ELT processes, and delivering solutions that directly impact the business. If you prefer doing over discussing, and value outcomes over process, we want you on our team.

Key Responsibilities:

  • Develop and optimize ETL/ELT processes to support data integration across systems
  • Build, deploy, and manage data pipelines using Python and PySpark
  • Work directly with GCP and AWS services to implement scalable cloud-based data solutions
  • Own data workflows end-to-end — from ingestion to transformation to storage
  • Continuously monitor and improve pipeline reliability, speed, and data quality
  • Use automation tools to speed up development and reduce manual effort
  • Proactively debug, troubleshoot, and resolve data engineering issues
  • Ensure data is available and trustworthy for analytics and downstream systems
  • Deliver high-quality code and documentation with a bias for action

Required Skills & Qualifications:

  • Strong proficiency in Python and PySpark
  • Working experience with cloud platforms like GCP and/or AWS
  • Solid understanding of ETL/ELT, data warehouse, and data lake concepts.
  • Proficient in working with relational databases—preferably PostgreSQL and MySQL—as well as non-relational databases, with a focus on MongoDB.
  • Driven by delivery and results — you get things done efficiently
  • Self-starter attitude with minimal need for hand-holding
  • Excitement for automating work using scripting tools
  • Familiarity with SCD, CDC, Real-time Streaming vs Batch-processing.

Nice to Have:

  • Experience with CI/CD pipelines and Docker
  • Understanding of data governance and observability
  • Prior experience in fast-paced, execution-heavy teams

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