Description

You will design, build, and maintain end-to-end data solutions spanning data engineering and business intelligence.

This role is on-site.

Responsibilities

• Design and maintain data pipelines and models using Python, Databricks, ADF, Snowflake, MS Fabric, and MS SQL.
• Create dynamic, interactive Power BI dashboards and reports tailored to business needs.
• Ingest, transform, and model large datasets, optimizing ETL/ELT workflows and SQL queries.
• Implement CI/CD pipelines for data workflows using Azure DevOps or Git.
• Maintain comprehensive documentation for all data pipelines, models, and dashboards.

Required Skills

• 5+ years of experience across the data lifecycle (engineering, modeling, BI development).
• Strong proficiency in Python for data processing and automation.
• Hands-on experience with Azure Data Factory (ADF), Databricks, and Microsoft Fabric.
• Advanced expertise in Power BI, including Power Query (M language) and DAX.
• Proficiency in SQL with experience in Snowflake, MS SQL Server, or PostgreSQL.
• Understanding of data warehousing principles, including dimensional modeling.
• Experience implementing CI/CD pipelines for data workflows using Azure DevOps or Git.
• Exposure to big data ecosystems such as Spark.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience with MS Fabric for data platform management.

Key Skills

Education

Bachelor's degree