Python Developer_Pandas_Numpy_SQL_ETL_AWS

We are seeking an experienced and proactive Python Developer at the Assistant Manager / Lead Assistant Manager level to drive data extraction, pipeline automation, and ETL workflows. In this role, you will build robust database connections, integrate third-party APIs, and engineer scalable data pipelines across on-premises and cloud environments.

• Build high-performance data processing routines, transformations, and numerical computations using Python, Pandas, and NumPy
• Develop automated scripts to interact with relational databases and optimize complex SQL queries, stored procedures, and ETL workflows
• Design and implement ingestion pipelines utilizing REST/SOAP APIs for automated data extraction and reporting
• Integrate workflows with cloud ecosystems like AWS and cloud data warehouses such as Snowflake
• Support, migrate, and modernize existing data workflows including integration touchpoints with SAS
• Write modular, well-documented, test-driven Python code ensuring reliable execution and scheduled batch monitoring

• 3 to 8 years of hands-on software development and data engineering experience in Python
• Advanced proficiency in Python data libraries including Pandas and NumPy
• Strong expertise in SQL with hands-on experience using database interfaces like PyODBC or SQLAlchemy
• Proven track record in developing end-to-end ETL pipelines, API consumption, and task automation
• Immediate joiners or candidates currently serving their notice period