ETL Developer

Capgemini; Chennai; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Capgemini is seeking an ETL Developer with 6-12 years of experience to design, develop, and maintain scalable ETL/data pipelines. Strong SQL and Python skills are essential to extract, transform, and load data from multiple sources.

The role focuses on building optimized SQL queries and Python-based transformations, ensuring data quality and consistency across pipelines. Immediate to 30 days NP; location is Pan India CG locations.

Qualifications

• 6-12 years of experience in ETL development and data pipeline design.
• Strong SQL and Python skills for data processing and automation.
• Experience designing, developing, and maintaining scalable ETL pipelines.

Responsibilities

• Design, develop, and maintain ETL pipelines for data ingestion, transformation, and loading.
• Extract data from multiple sources such as databases, APIs, network systems, billing systems, and operational platforms.
• Develop and optimize SQL queries for data processing and reporting requirements.
• Build and maintain data transformation jobs using Python and ETL frameworks.
• Ensure data quality, integrity, and consistency across all data pipelines.
• Collaborate with Data Analysts, Data Scientists, and Business teams to understand data requirements.
• Perform performance tuning and optimization of ETL jobs and database queries.
• Maintain documentation for ETL processes, data mappings, and workflow designs. timelines.

Skills

SQL

Python

ETL

Data pipelines

Job description

Job Description

We are looking for an ETL Developer with experience in designing, developing, and maintaining scalable ETL/data pipelines. The ideal candidate should have strong SQL and Python skills

Exp: 6-12 yrs

Location: Pan India CG locations

NP: Immediate to 30 days

Roles & Responsibilities

• Design, develop, and maintain ETL pipelines for data ingestion, transformation, and loading.
• Extract data from multiple sources such as databases, APIs, network systems, billing systems, and operational platforms.
• Develop and optimize SQL queries for data processing and reporting requirements.
• Build and maintain data transformation jobs using Python and ETL frameworks.
• Ensure data quality, integrity, and consistency across all data pipelines.
• Collaborate with Data Analysts, Data Scientists, and Business teams to understand data requirements.
• Perform performance tuning and optimization of ETL jobs and database queries.
• Maintain documentation for ETL processes, data mappings, and workflow designs. timelines.

Job Description - Grade Specific

Focus on Connectivity and Network Engineering. Fully competent in own area. Acts as a key contributor in a more complexor critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward.