Data Engineer - Snowflake

• 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 pipelinesfor 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.

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., * 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

The base compensation range for this role in the posted location is: $112,700 - $148,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.