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.