Python Developer_Pandas_Numpy_SQL_ETL_AWS

Crescendo Global Leadership Hiring India; Pune District, Gurugram District, Bengaluru; Hybrid; INR 1,400,000 - 2,600,000; Full time

Job summary

Crescendo Global Leadership Hiring India is seeking an experienced Python Developer at Assistant Manager/Lead Assistant Manager level to drive data extraction, pipeline automation, and ETL workflows in a fast-paced environment. You will build robust data pipelines, integrate APIs, and ensure scalable data processing across on-prem and cloud platforms.

The role demands hands-on Python expertise, strong SQL skills, and experience with Pandas/NumPy, PyODBC, SQLAlchemy, and cloud data warehouses.

Qualifications

• 3 to 8 years of hands-on software development/data engineering experience in Python.
• Advanced proficiency in Python data libraries (Pandas, NumPy).
• Strong expertise in SQL with PyODBC, SQLAlchemy, or similar drivers.
• End-to-end ETL pipelines, web services/API consumption, and task automation.
• Immediate joiners or candidates currently serving notice period.

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.

Skills

Python

Pandas

NumPy

SQL

ETL pipelines

APIs

Airflow

Git

AWS

Snowflake

Tools

PyODBC

SQLAlchemy

SAS

Snowflake

Job description

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.