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# Data Engineer - Snowflake

- **Company:** Capgemini
- **Location:** New York, NY, United States
- **Salary:** $112,700.0 - $148,000.0
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Backup Devices, Big Data, Cloud Storage, Databases, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, Disaster Recovery, Monitoring of Systems, Python (Programming Language), Performance Tuning, Query Optimization, SQL Databases, Workflow Management Systems, Enterprise Data Management, Data Ingestion, Azure Data Factory, Sql Optimization, System Availability, Snowflake, Apache Spark, Git, Build Management, Data Lakes, Pyspark, Semi-structured Data, Information Technology, Star Schema, Physical Data Models, Data Pipelines, Databricks
- **Published:** July 14, 2026
- **Apply:** https://www.juju.com/job/00000000ggluv5

## About the Role

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

## Description

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**.

Your role

 - 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.


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