Description:

Capgemini is looking for a skilled Data Engineer to join their dynamic engineering team in Pune. The role involves designing, developing, and maintaining large-scale data ingestion pipelines and optimizing ETL/ELT processes for modern data platforms. Collaborating with cross-functional teams is essential to ensure high data quality and performance across enterprise data pipelines.

Work in this role demands a high degree of independent problem-solving, judgement, and scientific thinking as applied to software engineering and data systems. Candidates are expected to participate in research, development, and ongoing innovation, acting as a true team player among fellow engineers and stakeholders.

Key Responsibilities:

• Designing and building robust data ingestion pipelines for diverse business use cases
• Developing and maintaining ETL/ELT processes for large-scale data systems
• Collaborating with other engineers and cross-functional partners to deliver data-driven solutions
• Ensuring quality, reliability, and optimal performance of data flows and systems
• Leveraging expertise in data engineering to mentor others and drive best practices across the team

Key Technical Skills:

Python, AWS, Databricks, PySpark, SQL

Requirements:

• Proven hands-on experience building data ingestion and ETL/ELT pipelines
• Strong programming skills, especially with Python and SQL
• Practical, hands-on experience working with AWS cloud services in data engineering
• Familiarity with Databricks and PySpark for scalable data processing
• Excellent teamwork, communication, and critical thinking skills
• Ability to solve complex problems and deliver innovative software solutions

This position offers career growth through continuous learning and engagement with emerging technologies in the field of data engineering.