Python Data Engineer

As a Snowflake + Python Data Engineer at Capgemini, you will design and implement data solutions that support business intelligence, analytics, and data-driven decision-making. You will work closely with cross-functional teams to build robust data pipelines, optimize data models, and deliver high-impact visualizations. Capgemini is a leader in data-driven transformation, helping organizations harness the power of cloud, data, and AI to drive business growth and operational excellence.

Must Have

• Develop and maintain scalable data pipelines using Snowflake and Python (Pandas).
• Utilize SnowSQL and Snowpipe for efficient data ingestion and transformation.
• Design and implement data models and ETL workflows using DBT or similar tools.
• Create dashboards and reports using Power BI or Tableau.
• Collaborate using Git for version control and team development.
• Write optimized SQL queries for data extraction, transformation, and analysis.
• Minimum 7 years of professional experience in data engineering.
• Strong expertise in Snowflake, SnowSQL, and Snowpipe.
• Proficient in Python, especially with Pandas in a Snowflake environment.
• Hands-on experience with DBT or other ETL tools.
• Skilled in Power BI or Tableau for reporting and visualization.
• Solid understanding of SQL and data modeling principles.
• Experience with Git for version control and collaboration.
• Excellent problem-solving and communication skills.

Perks & Benefits

• Flexible work hours
• Remote work options
• Inclusive culture that values innovation, collaboration, and continuous learning
• Opportunities to work on cutting-edge technologies and impactful projects

Your Role

As a Snowflake + Python Data Engineer, you will be instrumental in designing and implementing data solutions that support business intelligence, analytics, and data-driven decision-making. You’ll work closely with cross-functional teams to build robust data pipelines, optimize data models, and deliver high-impact visualizations.

In this role, you will:

• Develop and maintain scalable data pipelines using Snowflake and Python (Pandas).
• Utilize SnowSQL and Snowpipe for efficient data ingestion and transformation.
• Design and implement data models and ETL workflows using DBT or similar tools.
• Create dashboards and reports using Power BI or Tableau.
• Collaborate using Git for version control and team development.
• Write optimized SQL queries for data extraction, transformation, and analysis.
• Work flexible hours to meet project and client needs.

Your Profile

• Minimum 7 years of professional experience in data engineering.
• Strong expertise in Snowflake, SnowSQL, and Snowpipe.
• Proficient in Python, especially with Pandas in a Snowflake environment.
• Hands-on experience with DBT or other ETL tools.
• Skilled in Power BI or Tableau for reporting and visualization.
• Solid understanding of SQL and data modeling principles.
• Experience with Git for version control and collaboration.
• Excellent problem-solving and communication skills.

What You’ll Love About Working Here

• Flexible work hours and remote work options.
• Inclusive culture that values innovation, collaboration, and continuous learning.
• Opportunities to work on cutting-edge technologies and impactful projects.

About Us

Capgemini is a leader in data-driven transformation, helping organizations harness the power of cloud, data, and AI. With a global team of experts, we deliver innovative solutions that drive business growth and operational excellence.