Data Engineer - Snowflake
Capgemini•New York, NY
•$112,700 - $148,000•Remote
About The Position
We are looking for a Snowflake Data Engineer with strong administration and engineering experience to manage, optimize, and support enterprise data platforms. The candidate should have hands-on expertise in Snowflake administration, along with experience in Databricks, requirement gathering, solution design, and documentation.
Requirements
- Strong experience in Snowflake Administration
- Hands-on experience with Databricks / Spark / PySpark
- Advanced SQL (query optimization and tuning)
- Python / PySpark
- ETL/ELT pipeline development
- Experience with AWS / Azure / GCP
- Knowledge of cloud storage (S3, ADLS, etc.)
- Data warehousing and modeling (Star/Snowflake schema)
- Performance tuning and optimization
- Data governance and security best practices
- Experience with orchestration tools such as Airflow / Azure Data Factory
- Familiarity with Delta Lake / Lakehouse architecture
- Exposure to CI/CD tools and Git
- Knowledge of monitoring and alerting frameworks
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
Responsibilities
- Manage and administer Snowflake environments, including user roles, access control, and security policies.
- Configure and maintain warehouses, databases, schemas, and resource monitors.
- Monitor system performance, query usage, and cost optimization.
- Implement data security, encryption, masking policies, and governance controls.
- Handle Snowflake account setup, backup, and disaster recovery strategies.
- Design and build scalable data pipelines using Snowflake and Databricks (PySpark/SQL).
- Develop and maintain ETL/ELT pipelines for structured and semi-structured data.
- Optimize SQL queries and performance tuning for large datasets.
- Support data ingestion via Snowpipe, Tasks, Streams, and external stages.
- Work with business stakeholders to gather data requirements and define technical solutions.
- Translate business needs into scalable data models and pipelines.
- Participate in solution design discussions and architecture planning.
- Contribute to the design of data warehouse and lakehouse architecture.
- Develop logical/physical data models and ensure alignment with best practices.
- Ensure high availability, scalability, and performance of the data platform.
Benefits
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
