at Capgemini
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**Snowflake Data Engineer | 3-7 Years Experience** Design, optimize, and manage cloud data pipelines, warehouses, and lakehouses using Snowflake AI Data Cloud. Develop advanced SQL, Python, or Snowpark for ELT/ETL processes. Utilize dbt, Apache Airflow, or Fivetran for orchestration. Optimize Snowflake performance via virtual warehouses, clustering keys, and cost control. Implement dimensional modeling schemas. Collaborate with stakeholders to translate business needs into data models. Required: 3-7 years' data engineering experience, 2-3 years in Snowflake. Expertise in advanced SQL, Python, cloud platforms, and Snowflake competencies.
- Compensation
- Not specified
- City
- Not specified
- Country
- Romania
Currency: Not specified
Full Job Description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
About the job
We are seeking an experienced Data Engineer with the following focus: Snowflake architecture and administration concepts,DBT development and project structuring,Advanced SQL development / Query optimization and performance tuning and Data warehouse and dimensional modelling.
YOUR ROLE
- Design, build, and optimize cloud-native data pipelines, data warehouses, and data lakehouses using the Snowflake AI Data Cloud ecosystem
- Developing ELT/ETL processes, writing advanced SQL, utilizing Python or Snowpark, and tuning warehouse performance to support analytics
- Pipeline Development: Design and build scalable ingestion and transformation pipelines using tools like Snowpipe, dbt, Fivetran, or Airflow.
- Snowflake Optimization: Manage virtual warehouses, clustering keys, materialized views, streams, and tasks to optimize query performance and control credit costs.
- Data Modeling: Implement dimensional modeling, star schemas, or Data Vault architectures.
- Collaboration: Partner with data scientists, analysts, and product owners to translate business needs into robust technical data models.
YOUR PROFILE
- 3 to 7+ years in data engineering or data warehousing/datalake, with at least 23 years focused heavily on Snowflake.
- Technical Stack: Advanced SQL, Python, and cloud platforms (AWS, Azure, or GCP).
- Snowflake Competencies: Snowpark, Stored Procedures, Snowpipe, and dynamic tables.
- Orchestration & Tools: Experience with dbt, Apache Airflow, Git, and CI/CD pipelines
WHAT YOU'LL LOVE ABOUT WORKING HERE:
- Flexible and dynamic work environment involving teams spread across different global locations;
- Communities with shared interests and identities, all working together to advance diversity, equity and inclusion within the workplace and society;
- Do you want to learn more? You will have access to various training programs and platforms (e.g.: content provided by Pluralsight, Harvard and Coursera);
- Attractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).
Capgemini is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.
About Us
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com
