Senior Data Engineer - ETL

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.

• 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.

• Experience with large-scale cloud data platforms.
• Knowledge of infrastructure automation.
• Exposure to DevOps-driven workflows.

(ref:hirist.tech)