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

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