Description

Design, build, and maintain scalable data pipelines and analytics solutions across on-premises and cloud platforms.

This role is on-site.

Responsibilities

• Design and maintain scalable data pipelines using Azure, Databricks, Microsoft Fabric, GCP, and AWS to ingest, transform, and store diverse datasets.
• Develop and optimize dimensional data models (star and snowflake schemas) to improve query performance and scalability for analytics.
• Build and operate end-to-end ETL/ELT workflows using SSIS, Azure/Fabric Data Factory, Dataflows, and Notebooks, ensuring robust error handling and monitoring.
• Implement CI/CD practices for automated testing, release management, and deployment of data pipelines.
• Develop interactive Power BI dashboards and reports using DAX, and build predictive models using Python or R.

Required Skills

• 5+ years of experience in data engineering and analytics.
• Strong proficiency in Python, SQL, and ETL/ELT processes.
• Hands-on experience with Azure, Databricks, Microsoft Fabric, GCP, and AWS.
• Expertise in SSIS, Azure Data Factory, and data modeling (star/snowflake schemas).
• Proficiency in DAX for Power BI report development.
• Experience with CI/CD pipelines for data operations.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with AI-enabled data integration techniques such as intelligent data mapping and schema discovery.
• Ability to mentor teams and communicate complex data insights to non-technical stakeholders.
• Experience with statistical methods and machine learning models using R or Python.

Key Skills

Education

Bachelor's degree