Data Engineer - Snowflake
About The Position
Capgemini is looking to hire an AWS Snowflake Engineer to join our Insight & Data team in LA area. Your role Develop and maintain data pipelines that ingest data from internal applications into Snowflake. Design and implement data transformations in snowflake that prepare datasets for operational workflows and system integrations. Ensure data is clean, accurate, validated and available for downstream consumers. Support integrations between Snowflake and enterprise applications. Work with cross-functional teams to understand data requirements and translate them into scalable data models. Monitor, troubleshoot and optimize data workflows for performance and reliability. Create clear documentation, including data dictionaries, process flows and operational runbooks. Follow best practices for data governance, security and quality.
Requirements
- 3-6 years of experience as a Data Engineer or similar role.
- Hands-on experience with Snowflake (SQL, data modeling, views, tasks, warehouse optimization).
- Solid understanding of ETL/ELT concepts, data pipelines and cloud-based data platforms.
- Proficiency in SQL and experience working with structured datasets.
- Experience building data integrations between systems (APIs, connectors, ETL tools or JDBC-based pipelines).
- Familiarity with source control tools (Git) and collaborative development practices.
- Strong problem-solving skills, attention to detail and ability to work independently.
Responsibilities
- Develop and maintain data pipelines that ingest data from internal applications into Snowflake.
- Design and implement data transformations in snowflake that prepare datasets for operational workflows and system integrations.
- Ensure data is clean, accurate, validated and available for downstream consumers.
- Support integrations between Snowflake and enterprise applications.
- Work with cross-functional teams to understand data requirements and translate them into scalable data models.
- Monitor, troubleshoot and optimize data workflows for performance and reliability.
- Create clear documentation, including data dictionaries, process flows and operational runbooks.
- Follow best practices for data governance, security and quality.
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
