Description

You will build and maintain scalable data pipelines to support data processing needs.

This role is on-site.

Responsibilities

• Design and implement scalable, reliable, and maintainable data pipelines.
• Implement data quality checks, monitoring, and logging within pipelines.
• Optimize queries and work with data warehouse systems.
• Conduct code reviews and mentor junior engineers on quality deliverables.

Required Skills

• 4-8 years of relevant experience in data engineering.
• Proficiency in Python and SQL for data processing.
• Hands-on experience with Big Data frameworks like Spark or Databricks.
• Strong understanding of data modeling concepts (Star/Snowflake Schema, Fact/Dimension Tables).
• Experience working with relational databases and query optimization.
• Familiarity with cloud platforms and their data services.
• Experience with workflow orchestration tools.

Preferred Skills

• Ability to design for first-time-right delivery and production stability.

Key Skills

Education

Any Graduate