Job
Description
Role Overview: Join our dynamic team at Capgemini as an FBS Analytics Engineer and contribute towards delivering cutting-edge analytics solutions for our clients. You will be working with one of the largest insurers in the United States, supporting their broad spectrum of insurance and financial services. Key Responsibilities: - Collaborate with various business teams to assist in Data Engineering, Architecture & Solutioning - Utilize strong technical skills in Python, SQL, PySpark, and cloud technologies to address business challenges related to data & data products - Engage with different business teams and IT to ensure necessary data support for their requirements - Become a Subject Matter Expert (SME) on source systems and data products, supporting diverse business users with their data needs - Maintain and refresh existing data assets and products Qualifications Required: - Total Work Experience: 6 years and above - Proficiency in Data Engineering (Intermediate level) - Competency in Data Quality & Data Management (Intermediate level) - Advanced skills in ETL, Data Warehousing & Data Lake - Intermediate experience (4-6 Years) with Python, SQL (Snowflake), PySpark - Entry Level experience (1-3 Years) with AWS (Lambda, EMR, Step Function) - Intermediate expertise (4-6 Years) in ETL About Capgemini: Capgemini is a global leader in technology transformation and management, with a focus on unleashing human energy through technology for an inclusive and sustainable future. With over 340,000 team members in more than 50 countries, Capgemini has a strong 55-year heritage and deep industry expertise. Trusted by clients worldwide, Capgemini addresses a wide range of business needs, from strategy and design to operations, leveraging cloud, data, AI, and digital engineering. Role Overview: Join our dynamic team at Capgemini as an FBS Analytics Engineer and contribute towards delivering cutting-edge analytics solutions for our clients. You will be working with one of the largest insurers in the United States, supporting their broad spectrum of insurance and financial services. Key Responsibilities: - Collaborate with various business teams to assist in Data Engineering, Architecture & Solutioning - Utilize strong technical skills in Python, SQL, PySpark, and cloud technologies to address business challenges related to data & data products - Engage with different business teams and IT to ensure necessary data support for their requirements - Become a Subject Matter Expert (SME) on source systems and data products, supporting diverse business users with their data needs - Maintain and refresh existing data assets and products Qualifications Required: - Total Work Experience: 6 years and above - Proficiency in Data Engineering (Intermediate level) - Competency in Data Quality & Data Management (Intermediate level) - Advanced skills in ETL, Data Warehousing & Data Lake - Intermediate experience (4-6 Years) with Python, SQL (Snowflake), PySpark - Entry Level experience (1-3 Years) with AWS (Lambda, EMR, Step Function) - Intermediate expertise (4-6 Years) in ETL About Capgemini: Capgemini is a global leader in technology transformation and management, with a focus on unleashing human energy through technology for an inclusive and sustainable future. With over 340,000 team members in more than 50 countries, Capgemini has a strong 55-year heritage and deep industry expertise. Trusted by clients worldwide, Capgemini addresses a wide range of business needs, from strategy and design to operations, leveraging cloud, data, AI, and digital engineering.
