Data Engineer

Responsibilities

• Lead design and implementation of Snowflake-based data architectures : schemas, data vault / house / star models, materialized views, and zero-copy cloning patterns for environments.
• Build and maintain production ETL / ELT pipelines into Snowflake using Snowpipe, Snowpark, Streams & Tasks and partner tools (Streamsets, dbt, Fivetran, Matillion, Airbyte, etc.).
• Develop Snowflake-native utilities and apps (Snowpark for Python, UDFs, external functions, and internal tools) to accelerate developer productivity and data product delivery.
• Optimize query performance and cost through clustering keys, partitioning strategies, resource monitors, warehouse sizing, and workload isolation.
• Implement data governance, security and access controls in Snowflake based on role-based access, masking policies, object tagging, data lineage and audit logging.
• Automate infrastructure and deployments leveraging IaC for Snowflake objects and cloud infra CI / CD pipelines, and automated testing for SQL / Snowpark code.
• Build observability and operational tooling by monitoring, alerting, usage / cost reporting, and incident playbooks for Snowflake workloads.
• Mentor engineers, review designs and contribute to roadmap decisions for Snowflake platform evolution.

Required skills and experience

Preferred qualifications

#J-18808-Ljbffr