Overview
Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. The professional will be responsible for designing, developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives.
Direct message the job poster from Capgemini.
Responsibilities
* Design and implement scalable data models and transformation pipelines using DBT on Snowflake.
* Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks.
* Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
* Optimize Snowflake performance through query tuning, clustering, and resource management.
* Ensure data quality, integrity, and governance through testing, documentation, and monitoring.
* Participate in code reviews, architecture discussions, and continuous improvement initiatives.
* Maintain and enhance CI/CD pipelines for DBT projects.
Required Qualifications
* 5+ years of experience in data engineering or a related field.
* Strong hands-on experience with DBT (modular SQL development, testing, documentation).
* Proficiency in Snowflake (data warehousing, performance tuning, security).
* Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages.
* Solid understanding of data modeling concepts (star/snowflake schemas, normalization).
* Experience with version control systems (e.g., Git) and CI/CD practices.
* Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world. It is a diverse group of 340,000 team members in more than 50 countries, with a heritage of over 55 years. Capgemini unlocks the value of technology to address the breadth of business needs, delivering end-to-end services from strategy and design to engineering, fueled by capabilities in AI, cloud and data.
How to apply
If you are interested in this role, please send your CV for immediate consideration.
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