Data Analytics Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

Join Capgemini as an FBS Associate Analytics Engineer and be part of our dynamic team dedicated to delivering cutting-edge analytics solutions for our clients. Our Client is one of the largest insurers in the United States, providing a broad spectrum of insurance and financial services.

As part of Analytics Engineering team we work with different business teams to help with Data Engineering, Architecture & Solutioning. Helping build complex data products, data assets to support the organizations D&A needs.

• Using the strong Python, SQL, PySpark and cloud technical skills help solve the business challenges related to data & data products
• Work with different business teams, IT to help business team get the required data to support their needs
• Become an SME on the different source systems, data products and help different business users with their data needs
• Support the existing data assets and products by refreshing the data

Your Profile

Data analytics Engineer

Data Engineering

Data Quality & Data Management

ETL -

Data Warehousing & Data Lake

Python –

SQL - Snowflake

PySpark

AWS (Lambda, EMR, Step Function)

What You'll Love About Working Here

At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Skills Required

data engineering , Aws Lambda, Data Management, Pyspark, Emr, Sql, Data Quality, snowflake , Data Lake, Data Warehousing, Python, Etl