Description

Key Skills: Azure Data Lake, Azure Data Warehouse, Data Marts, Power BI, SQL, Python, R, Azure, Data Engineering, Data Architecture, Data Modeling, ETL/ELT, Data Integration, Data Governance, Data Quality

Roles & Responsibilities:

• Design and maintain data architecture, models, and pipelines for enterprise data ingestion, storage, processing, and analysis.
• Implement and optimize Azure-based data lake, warehouse, and data mart layers for analytics and reporting.
• Lead ETL/ELT integration and transformation workflows across source systems and downstream consumption layers.
• Develop and manage Power BI dashboards, reports, and control tower views for business and operational stakeholders.
• Establish data governance, quality, security, and compliance practices across the data platform.

Experience:

• 7-10 years of experience in data engineering, data management, or analytics, including leadership exposure.
• Strong hands-on experience in data engineering with Azure Data Lake, Azure Data Warehouse, and data mart design.
• Solid architecture and modeling capability for building curated analytics layers and enterprise reporting structures.
• Experience delivering scalable data pipelines, transformation logic, and reliable data integration across multiple sources.
• Practical experience with SQL, Python, R, Power BI, and cloud-based data platforms used in production environments.

Good to Have:

• Azure
• Kafka
• Snowflake

Education:

• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field; MBA preferred

Key Skills

Education

Any Graduate