Description

You will design and maintain scalable data applications using Python, PySpark, and MongoDB.

Responsibilities

• Architect and implement data models, schema designs, and complex NoSQL queries in MongoDB.
• Develop, optimize, and troubleshoot PySpark jobs for large-scale data processing.
• Write and tune complex SQL queries, stored procedures, and performance-critical datasets.
• Ensure data quality, consistency, and governance throughout the development lifecycle.
• Collaborate in Agile ceremonies to drive solution architecture and technical design.

Required Skills

• 10+ years of hands-on experience in Python development.
• Strong expertise with MongoDB, including aggregation pipelines, indexing strategies, and performance tuning.
• Solid proficiency in PySpark for large-scale data processing.
• Expertise in SQL, including complex queries, stored procedures, and query optimization.
• Experience working with large datasets and data-driven systems.
• Strong problem-solving and performance-tuning skills.
• Experience in data governance and data quality frameworks.

Preferred Skills

• Familiarity with cloud platforms.
• Prior experience in enterprise-scale environments.

Key Skills

Education

Any Gradute