Description

Design and optimize data pipelines using Python and PySpark while managing complex MongoDB schemas and owning full lifecycle data quality and performance tuning.

This role is on-site.

Responsibilities

• Write and optimize complex SQL queries, stored procedures, and performance-tuned datasets.
• Design MongoDB schemas, implement indexing strategies, and manage NoSQL operations.
• Troubleshoot and resolve performance bottlenecks across Python, Spark, and database layers.
• Ensure data quality, consistency, and governance throughout the development lifecycle.
• Participate in Agile ceremonies and contribute to solution architecture discussions.

Required Skills

• 7+ years of hands-on experience with Python programming.
• Extensive experience with MongoDB, including schema design, querying, and indexing.
• Strong proficiency in writing complex SQL queries and stored procedures.
• Experience with PySpark for data processing and engineering.
• Proven ability to troubleshoot performance issues in distributed systems.
• Experience participating in Agile ceremonies and architecture discussions.

Preferred Skills

• Digital experience with Python, MongoDB, and PySpark ecosystems.

Key Skills

Education

Any Gradute