Senior Data Engineer - Finance Domain
Capgemini
About the role
Senior Data Engineer : Finance Domain
We seek Data Engineer with a strong P&C insurance background to analyze business data stories and translate them into technical requirements. The ideal candidate can independently design, build, test, and implement data products of various complexity with minimal guidance.
Requirements
Must to have skills :
- DBT - Advanced
- Snowflake - Intermediate
- SQL - Advanced
- Experience in Financial Industry is must, know to work with finance data, Banks or Insurance sector
- Agile methodology, Software development, data development ( - Entry Level )
- Python/ PySpark - Intermediate
- Shell Scripting - Intermediate
- Power BI - Intermediate
Software / Tool Skills
- Data Analysis / profiling - Intermediate (4-6 Years)
- Communication - Intermediate (4-6 Years)
- Data Analysis / profiling - Intermediate (4-6 Years)
- Communication - Intermediate (4-6 Years)
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.
Experience Level
Senior Level
Requirements
- Advanced DBT
- Intermediate Snowflake
- Advanced SQL
- Experience in financial industry (banks or insurance)
- Intermediate Python/PySpark
- Intermediate Shell Scripting
- Intermediate Power BI
- 4-6 years experience in data analysis/profiling
- 4-6 years experience in communication
Responsibilities
- Analyze business data stories and translate them into technical requirements
- Design, build, test, and implement data products of various complexity
- Collaborate using Agile methodology and software development practices
Benefits
Skills
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