Join Capgemini as a Senior Data Engineer and play a pivotal role in shaping our data-driven future!
As a Senior Data Engineer at Capgemini, you will be working with a leading US Insurance Carrier, focusing on transforming raw data into insightful analytics. In this role, you will collaborate with data scientists and stakeholders to design and implement data pipelines, ensuring that data flows are efficient, reliable, and ready for processing. You will be responsible for developing, maintaining, and optimizing complex data architectures that support business intelligence and analytics operations.
Your technical expertise will contribute to enabling data-driven decision-making across the organization while addressing complex data challenges. At Capgemini, we value innovation and insights that drive performance, and your contributions will be essential in enhancing our operational efficiency.
Key Responsibilities:
- Collaborate with cross-functional teams to gather and understand business requirements and translate them into technical specifications.
- Design and implement scalable data models, data pipelines, and ETL processes to ensure seamless data integration.
- Monitor and optimize existing data processes and pipelines for improved performance and reliability.
- Ensure data quality and integrity by implementing robust testing and validation processes.
- Leverage tools like AWS, Python, Snowflake, and DBT to build and optimize data solutions.
- Provide technical support and troubleshooting for data-related issues in collaboration with IT teams.
Work Experience:
- Minimum Required: 5 years
Education:
- Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's preferred)
Key Skills:
- Expertise in cloud-based data platforms (AWS, Azure, etc.)
- Advanced SQL and Python programming skills
- Proficiency in data visualization tools (e.g., Power BI, Tableau)
- Experience with ETL tools and frameworks, preferably DBT
- Strong problem-solving and analytical skills
- Effective communication skills to interact with technical and non-technical stakeholders
Desirable Skills:
- Familiarity with machine learning concepts and tools
- Experience in working with large datasets in a cloud environment
- Knowledge of data governance and data quality principles
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.
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What We Do
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 270,000 team members in nearly 50 countries. With its strong 50 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 reported in 2020 global revenues of €16 billion.
