Mastering Data Engineering

2 weeks ago

Thiruvananthapuram, Kerala, India beBeeData Full time ₹ 15,00,000 - ₹ 18,30,000
Unlock Your Data Potential

About our data solutions

We empower businesses to scale and redefine possibilities with integrated customer experience and cutting-edge digital solutions.

Our expertise spans digital transformation, AI-driven consulting, IT lifecycle management, and more – delivered with secure infrastructure, value-driven pricing, and exceptional service.

For nearly two decades, we have been a global leader in providing premium data services for the ever-evolving AI ecosystem.

From machine learning to computer vision and GenAI, we deliver solutions designed to cover the training data needs of every project.

Our purpose-built tools deliver multimodal data for AI training projects of any complexity – from experimental pilots to ambitious large-scale programs.

Key Responsibilities:

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

Required Skills & Qualifications:

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

Benefits:

  • 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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