Data Analyst
Why This Role Stands Out
Embrace a hybrid work environment with Capgemini, a global leader in technology consulting, where you'll leverage your expertise in SQL, PostgreSQL, and AWS to drive impactful data solutions within the financial services sector. This mid-senior role offers significant growth potential and the chance to collaborate with a supportive team, making it an ideal opportunity for experienced data professionals seeking to expand their skills and contribute to innovative projects.
Quick Overview
Job Description
About Capgemini
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, supported by a collaborative global team, and inspired to reimagine what's possible. Join us and help leading organizations unlock the value of technology and build a more sustainable, inclusive future.
Note:
Role Overview
Capgemini is seeking a strong Data Analyst to support a large-scale Financial Services initiative. This role will focus on enterprise data solutions, ETL/ELT development, data analysis, data quality, and data warehouse support within an AWS cloud environment.
The ideal candidate will have hands-on experience with SQL, PostgreSQL, AWS Aurora PostgreSQL, ETL/ELT development, data modeling, Oracle, and enterprise data warehouse environments.
Key Responsibilities
- Develop and maintain ETL/ELT pipelines and data integration solutions
- Write complex SQL queries, transformations, and stored procedures
- Perform data analysis, mapping, validation, reconciliation, and quality assurance
- Design and maintain logical and physical data models
- Support enterprise data warehouse and analytics environments
- Work with PostgreSQL, AWS Aurora PostgreSQL, and Oracle databases
- Troubleshoot data quality, performance, and integration issues
- Create technical documentation including data mappings and transformation specifications
- Collaborate with business and technical teams to translate requirements into data solutions
- Support testing, production deployments, and ongoing operational support
Required Qualifications
- 6+ years of experience in Data Analysis, Data Engineering, Data Integration, or related fields
- Strong SQL development and query optimization experience
- Hands-on ETL/ELT development experience
- Experience building and supporting enterprise data pipelines
- Strong data modeling and data management background
- Strong PostgreSQL expertise
- Experience with AWS Aurora PostgreSQL
- Experience working in AWS cloud environments
- Experience with Oracle databases
- Experience supporting enterprise data warehouse solutions
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder collaboration skills
Preferred Qualifications
- Financial Services industry experience
- Experience supporting BI and reporting initiatives
- Data governance and data quality experience
- Experience with cloud-based analytics and data warehouse platforms
Why Join Capgemini?
- Work on enterprise-scale cloud and data transformation programs
- Collaborate with leading financial services organizations
- Exposure to modern AWS-based data platforms
- Competitive compensation and career growth opportunities
Skills
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