Description

You will design, develop, and maintain scalable Python applications for data processing, analytics, and business-critical workflows.

This role is on-site.

Responsibilities

• Build and enhance RESTful APIs using Flask or FastAPI, ensuring high performance and security.
• Develop, optimize, and maintain PostgreSQL databases, including complex SQL queries and performance tuning.
• Architect and support ETL pipelines and data transformation processes using Informatica, PySpark, and other frameworks.
• Manage large datasets to ensure efficient ingestion, transformation, storage, and data quality.
• Collaborate with cross-functional teams to troubleshoot production issues and mentor junior developers.

Required Skills

• 5+ years of professional Python development experience.
• At least 2 years of recent experience with data-intensive applications and large-scale data processing.
• Strong expertise in Python, PostgreSQL, and SQL.
• Proven experience designing scalable data-driven applications.
• Hands-on experience with ETL development and data transformation frameworks (PySpark, Dask, Polars).
• Ability to manage large datasets while ensuring data integrity and performance.

Preferred Skills

• Bachelor’s degree in Computer Science, Software Engineering, IT, Data Engineering, or a related technical field.
• Experience with Informatica for data integration.

Key Skills

Education

Any Graduate