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Data Engineer ETL Snowflake Job in Capgemini

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 Data Engineer ETL Snowflake Job in Capgemini

Job Description

    Capgemini is seeking a highly skilled, motivated and detail-oriented Data Engineer to join our team to work for a top 10 US Insurance Carrier. This role is pivotal in designing, building, and maintaining scalable data pipelines and analytics solutions that empower Advanced Analytics, Business Intelligence, and Data Science initiatives. You will play a crucial role in building a semantic data layer, defining and implementing cutting-edge data products, and delivering innovative AI-driven solutions that fuel business growth and enhance customer experience. Our Client is one of the United States largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world. Location: India Key Responsibilities Data Pipeline Development: Lead the design, development, and deployment of scalable and robust data pipelines, ensuring seamless data integration and processing across diverse systems. Data Engineering Best Practices: Establish and uphold best practices for data engineering, including coding standards, data governance, performance optimization, and automation strategies. Code Quality and Review: Participate in code reviews, provide constructive feedback, and contribute to the team's continuous improvement in coding practices and methodologies. ETL/ELT Development: Design, build, and maintain robust ETL/ELT pipelines, reusable frameworks, and libraries to process and transform data from diverse sources, ensuring accuracy, quality, and consistency. System Monitoring: Proactively monitor and troubleshoot data pipelines, ensuring high availability, reliability, and performance across all data engineering workflows. Automation and CI/CD: Implement CI/CD pipelines to streamline the deployment, testing, and maintenance of data engineering processes. Cross-functional Collaboration: Partner with data scientists, engineers, analysts, product managers, and business stakeholders to understand requirements, translate them into actionable technical specifications, and deliver impactful data solutions. Requirements Total Work Experience Minimum Required: 4-6 years Proven experience in designing and building scalable data pipelines, and architectures. - Advanced Expertise in ETL/ELT processes, data modeling, and integration of data from multiple sources into a data warehouse. - Advanced English Proficiency Minimum Required: Intermediate Required Education Minimum Required: Bachelor Other Critical Skills: Strong understanding of data governance, quality assurance, and performance optimization in a data engineering context. - Advanced Software / Tool Skills: Excel, PowerPoint, Power BI Hands-on experience with SQL, Python, and Snowflake. - Advanced Benefits Competitive compensation and benefits package: Competitive salary and performance-based bonuses Comprehensive benefits package Career development and training opportunities Flexible work arrangements (remote and/or office-based) Dynamic and inclusive work culture within a globally renowned group Private Health Insurance Pension Plan Paid Time Off Training & Development Note: Benefits differ based on employee level. About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group 22.5 billion in revenues in 2023. https://www.capgemini.com/us-en/about-us/who-we-are/,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Others
Functional Area: Not Specified
Role/Responsibilies: Data Engineer ETL Snowflake Job in Capgemini

Contact Details:

Company: Capgemini
Location(s): Hyderabad

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Keyskills:   Data Engineering Data Modeling SQL Python Snowflake

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Capgemini

Capgemini is headquartered in Paris, France and operates in more than 40 countries. They are one of the world’s largest providers of Consulting, Technology, and Outsourcing. Above all, Capgemini is a people company— 120,000 people in North America, Europe, South America and the Asia ...

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