Job Description

A long-standing SaaS product company is hiring a data engineer to support both modern cloud pipelines and legacy systems. You'll work cross-functionally to build ETL workflows, write complex SQL, and support ongoing migration efforts.

Responsibilities:

  • Build pipelines using Azure Data Factory and Databricks

  • Write complex SQL queries, views, and stored procedures

  • Support legacy systems like SQL Server and SSIS

  • Work in a medallion architecture with a cloud data lake

  • Participate in agile teams and rotating month-end support

Requirements:

  • 4+ years of experience in data engineering or ETL development

  • Strong SQL (joins, optimization, stored procedures)

  • Proficiency in Python

  • Experience with cloud data tools (Azure preferred)

  • Comfortable working in non-prod environments

Nice to have:

  • Kafka, Event Hubs, Power BI, Microsoft Fabric, Datadog

  • Background in enterprise or IoT data environments

    #zrsep

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