Python Developer_Pandas_Numpy_SQL_ETL_AWS

Job Description: Python Developer (Data Engineering & Automation)

Role Title: Assistant Manager / Lead Assistant Manager Python Developer

Band / Level: B1 / B2

Experience: 3 – 8 Years

Location: Noida/Gurugram/Bangalore/Pune

Notice Period: Immediate Joiner

Employment Type: Full-time

Role Overview

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 be responsible for building robust database connections, integrating third-party APIs, and engineering scalable data pipelines across on-premises and cloud environments.

Key Responsibilities

• Data Processing & Analytics: Build high-performance data processing routines, transformations, and numerical computations using Python, Pandas, and NumPy.
• Database Connectivity & Automation: Develop automated scripts to interact with relational databases using PyODBC and native connectors; write and optimize complex SQL queries, stored procedures, and ETL workflows.
• API Integration: Design and implement ingestion pipelines utilizing REST/SOAP APIs for automated data extraction, reporting, and inter-system synchronization.
• Cloud & Modern Data Platforms: Integrate workflows with cloud ecosystems (preferably AWS) and cloud data warehouses like Snowflake.
• Legacy & Modern Pipeline Maintenance: Support, migrate, and modernize existing data workflows, including integration or migration touchpoints with SAS.
• Code Quality & Testing: Write modular, well-documented, test-driven Python code, ensuring reliable execution and scheduled batch monitoring.

Technical Skills & Qualifications

Must-Have

• Experience: 3 to 8 years of hands-on software development/data engineering experience in Python.
• Core Python: Advanced proficiency in Python data libraries (Pandas, NumPy, etc.).
• Database & Connectivity: Strong expertise in SQL along with hands-on experience using database interfaces like PyODBC, SQLAlchemy, or similar drivers.
• ETL & Data Ingestion: Proven track record in developing end-to-end ETL pipelines, web services/API consumption, and task automation.
• Availability: Immediate joiners or candidates currently serving notice period.

Preferred / Good-to-Have

• Exposure to cloud services, particularly AWS (e.g., S3, Lambda, Glue, EC2).
• Hands-on experience or familiarity with Snowflake architecture and query tuning.
• Prior experience working with or migrating legacy systems using SAS.
• Familiarity with scheduling tools (e.g., Airflow, Cron) and version control (Git).

Behavioral Competencies

• Strong analytical reasoning and problem-solving mindset.
• Ability to mentor junior developers and lead technical deliverables independently.
• Clear written and verbal communication skills for cross-functional collaboration.