Middle Data Engineer — Snowflake / dbt / Azure

Описание

Responsibilities

• Hourly ingestion from SQL Server and 24/7 OLTP systems
• Ingesting files from customer NAS shares and APIs into Azure Blob Storage
• Building and maintaining dbt models in Snowflake
• Handling production issues: schema changes, failed hooks, missing files and jobs that fail halfway

Requirements

• 2+ years of data engineering experience
• Hands-on experience with Snowflake: streams, Time Travel, data sharing, and standard, transient, hybrid and Iceberg tables
• Advanced SQL skills (live coding in Snowflake is part of the interview)
• Experience with dbt: macros shared across projects, pre- and post-hooks, SCD Type 2
• Experience with Azure Data Factory or Azure Synapse Pipelines, including self-hosted integration runtimes
• Python and PySpark
• Git and pull-request workflows, code review and automated testing

Nice to have

• Azure Function Apps and Logic Apps
• Microsoft Defender for scanning incoming files
• Databricks
• Orchestration tools (e.g. Airflow)

We offer

• Fully remote work
• Performance-based bonus
• Professional growth opportunities

Hiring process

• Online coding assessment
• Technical interview
• Final discussion with the manager