Data Engineer
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Job Description
- 7-10 Years Overall experience
- Design and implement data pipelines using Microsoft Fabric (Data Factory, Dataflows, Synapse, Lakehouse).
- Develop and optimize ETL/ELT processes for structured and unstructured data.
- Manage and maintain data lakes, warehouses, and lakehouses within Fabric.
- Collaborate with data analysts, BI developers, and business stakeholders to deliver end-to-end analytics solutions.
- Build and maintain Power BI datasets, reports, and dashboards integrated with Fabric.
- Collaborate with business teams to translate requirements into data models and visualizations.
- Ensure data quality, governance, and security across all data assets.
- Monitor and troubleshoot data workflows, ensuring high availability and performance.
- Automate workflows and contribute to CI/CD practices for data engineering.
- Stay updated with emerging features in Microsoft Fabric and recommend adoption strategies.
- Should have sound knowledge on database concepts like Entity-relationship, Data modeling, DDL and DML statements etc.
- Advance knowledge of Azure SQL DB & Synapse Analytics, Power BI, SSIS, SSRS, T-SQL, Logic Apps
- Should be able to analyze and understand complex data
- Good experience in writing complex SQL queries, Analytical functions, Joins, Indexes, functions, and stored procedures.
- Understanding of data lineage and good in building such frameworks
- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture
- Experience in various data cleansing techniques
- Understand business requirement and actively provide inputs from Data perspective
- Understand the underlying data and flow of data