Data Engineer
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Databases
Dbt
ETL
Informatica
Information Technology (IT)
Programming
Snowflake
SQL
Job Description
Capgemini is hiring a senior-level Data Engineer for a remote contract engagement focused on building data transformations in Snowflake using Python and dbt. The role is time-bound for 4 months 29 days and emphasizes strong SQL, dbt operations, and production-grade ETL development.
Role Details
- Job Type: Contract
- Location: Remote
- Engagement Duration: 4 months 29 days
- Compensation: USD 34 to 54 per hour
- Experience Level: 6+ years
Responsibilities
- Develop transformation logic using Python scripts and/or dbt models in Snowflake.
Required Qualifications
- Experience: 6 to 8 years of IT experience, including 4 to 5 years working on data engineering projects.
- dbt: Expert-level SQL skills and experience managing complex dbt projects. Experience with CI/CD management and job schedulers is required and is considered very important. Strong SQL proficiency is expected.
- Python: Good experience building ETL pipelines and implementing API integrations with Snowflake. Knowledge of how Python works within ETL pipelines, including memory management and clustering concepts, is required.
- Snowflake: Hands-on knowledge of Snowflake is required, with at least conceptual understanding of Snowflake architecture preferred. Strong data warehousing experience is required even if Snowflake experience is limited.
Technology Stack
- Snowflake
- dbt
- Python
- SQL
- ETL
Benefits
- Medical
- Dental
- Vision
- Retirement benefits
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