Description

You will build and maintain scalable ETL/ELT pipelines for enterprise data and AI initiatives.

This role is hybrid.

Responsibilities

• Build, optimize, and maintain ETL/ELT pipelines using Microsoft Fabric and Databricks.
• Prepare, cleanse, and structure large datasets for downstream AI/ML workloads.
• Orchestrate data movement and transformation using Azure Data Factory and Synapse.
• Ensure data quality, performance, and reliability across cloud platforms.
• Collaborate with engineering teams to support scalable data architecture.

Required Skills

• Strong hands-on Python and SQL development experience.
• Direct experience building ETL/ELT pipelines in enterprise environments.
• Proficiency with Microsoft Fabric, Databricks, Synapse, and Azure Data Factory.
• Experience working with large datasets in cloud environments.
• Bachelor's degree with 5+ years of relevant experience.
• Ability to support AI/ML data pipelines including data prep and transformation.

Preferred Skills

• Experience with PySpark or Spark.
• Exposure to Lakehouse or data warehouse architectures.

Key Skills

Education

Bachelor's degree