Key Responsibilities :

- Design, build, and optimize scalable data pipelines and data models.

- Manage and administer Snowflake environments, including virtual warehouses, secure shares, clustering, tagging, masking, dynamic tables, and performance tuning.

- Ensure cost efficiency in Snowflake workloads through monitoring and optimization techniques.

- Implement and maintain data governance, data quality checks, and metadata standards.

- Collaborate with cross-functional teams to understand data needs and deliver robust solutions.

- Develop automated scripts and transformations using Python for data processing.

- Leverage AI-assisted tools (GitHub Copilot, Claude Code) to improve design, coding, documentation, and reviews.

- Monitor system health, performance, and data reliability using industry tools and best practices.

- Contribute to architectural discussions, documentation, and design specifications.

- Use Git effectively for branching strategies, code reviews, and version control.

- Support production environments and troubleshoot performance, quality, and pipeline issues.

Requirements :

- 6+ years of experience as a Data Engineer, Software Developer, or Administrator focused on data modeling, governance, and platform administration.

- 3+ years of hands-on Snowflake experience including virtual warehouse management, clustering, secure shares, cost control, tagging, masking, dynamic tables, and performance optimization.

- Expert-level SQL capability for analytics and database engineering.

- Intermediate Python skills for data pipelines and automation.

- Experience using AI-assisted code tools (GitHub Copilot, Claude Code).

- Strong experience across MSSQL, PostgreSQL, OLAP/OLTP systems.

- Familiarity with ETL/ELT tools, schema design for high-volume systems, and data health monitoring.

- Experience implementing data governance principles and standards.

- Solid understanding of cloud design principles (SaaS, PaaS, IaaS).

- Experience with structured file formats : XML, JSON, Parquet, CSV, Fixed Length.

- Hands-on experience with Git including branching, merging, and git-flow.

Good to Have :

- Experience with large-scale cloud data platforms.

- Knowledge of infrastructure automation.

- Exposure to DevOps-driven workflows.