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Data Engineer

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.

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

Competitive compensation and benefits package:

  1. Competitive salary and performance-based bonuses
  2. Comprehensive benefits package
  3. Career development and training opportunities
  4. Flexible work arrangements (remote and/or office-based)
  5. Dynamic and inclusive work culture within a globally renowned group
  6. Private Health Insurance
  7. Pension Plan
  8. Paid Time Off
  9. 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/

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Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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Capgemini partners with companies to transform and manage their business by unlocking the value of technology.

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Full-time, remote
DATE POSTED
January 6, 2025

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