Senior Data Engineer

Key Responsibilities Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights. Develop and maintain data reports and dashboards using business intelligence tools ( Azure / Microsoft Fabric .) Collaborate with business teams to understand key business objectives and data needs. Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities. Ensure data models and structures are well-designed to facilitate analysis and reporting. Act as a bridge between data engineers and business stakeholders , ensuring data is aligned with business needs. Skill set 6- 8+ years

of Data Engineering experience. Strong hands-on experience in

Azure / Microsoft Fabric . ADF, Fabric Pipelines, Lakehouse, Data Warehouse, Notebooks . Strong

SQL, Python, PySpark, and Spark

skills. Strong database experience with

SQL Server / Azure SQL , including complex queries, stored procedures, performance tuning, database design. Experience with

ETL/ELT, Azure Data Lake, Delta Lake, Medallion Architecture, CDC/incremental loads, and data warehousing . Experience with

Azure SQL Database, SQL Server, and/or other relational databases .ssis/ssrs (need developent exp) Experience with

CI/CD, Git, deployment, troubleshooting, and production support . Strong analytical, problem-solving, and communication skills. power bi/table - less exp Excellent communication and presentation skills are essential.