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.
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