Description

You will build and operate reliable, scalable data pipelines and curated data products on the Snowflake Data Cloud.

This role is on-site.

Responsibilities

• Design and operate ETL/ELT pipelines, managing incremental loads, CDC, error handling, and backfills.
• Develop production-grade datasets aligned with quality, observability, governance, performance, and cost efficiency standards.
• Partner with analytics, data science, platform, and security teams to translate requirements into deliverable datasets.
• Manage data workloads supporting BI and ML/AI within a multi-account Snowflake strategy.

Required Skills

• 5+ years of data engineering experience, including significant delivery on Snowflake in production.
• Strong Python skills, including developing testable code, packaging, logging/metrics, and performance-aware data processing.
• Strong SQL and data modeling fundamentals, covering dimensional and/or domain-oriented modeling.
• Hands-on experience with dbt Core, covering models, macros, tests, docs, deployments, and CI practices.
• Hands-on experience with OpenFlow for building, running flows, operational support, and troubleshooting.
• Proven experience designing and operating ETL/ELT pipelines.
• Experience working in cloud environments (AWS, Azure, GCP) and production operations (monitoring, on-call/incident response, SLAs).

Key Skills

Education

Any Gradute