ETL Developer

Capgemini Engineering; Chennai; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Capgemini Engineering is seeking an ETL Developer to design, develop, and maintain scalable data pipelines across Pan India CG locations. The role emphasizes strong SQL and Python skills, data ingestion, and collaboration with Data Analysts and Business teams.

Ideal candidates have 6-12 years of ETL experience, with hands-on work on diverse data sources and a focus on data quality and performance tuning. Immediate to 30 days NP.

Qualifications

• 6-12 years of ETL development experience.
• Strong SQL and Python skills.
• Experience designing, developing, and maintaining scalable ETL/data pipelines.
• Experience with data sources and ensuring data quality.

Responsibilities

• Design, develop, and maintain ETL pipelines for data ingestion, transformation, and loading.
• Extract data from databases, APIs, network systems, billing systems, and operational platforms.
• Develop and optimize SQL queries for reporting requirements.
• Build and maintain data transformation jobs using Python and ETL frameworks.
• Ensure data quality, integrity, and consistency across all 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.

Skills

ETL pipelines

SQL

Python

Data quality

Data transformation

Tools

ETL frameworks

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.