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.