13 Aug
|
SWITS DIGITAL Private
|
India
13 Aug
SWITS DIGITAL Private
India
Job Title: Lead Azure Data Engineer
Location: Bangalore, Chennai, Hyderabad, Pune
Expereinece: 8-15 Years
Work Type: Contract (Extendable)
Job Description
We are looking for an experienced Lead Data Engineer with 8+ years of experience in designing, developing, and maintaining enterprise-scale data engineering solutions. The ideal candidate should have strong expertise in Microsoft Fabric, Databricks, PySpark, SQL/T-SQL, Delta Lake, Azure Data Factory, and Power BI. You will play a key role in modernizing legacy data platforms by building scalable Bronze, Silver, and Gold Medallion Architecture pipelines and migrating SQL Server ETL workloads to Microsoft Fabric.
Roles & Responsibilities
Design, develop, and maintain scalable Bronze, Silver, and Gold data pipelines using Microsoft Fabric and Databricks.
Implement Cascade 1.0 and Cascade 2.0 merge logic within the Silver layer, managing schema evolution, current attributes, and null value handling.
Migrate legacy SQL Server objects including tables, views, stored procedures, and ETL processes into Microsoft Fabric Pipelines,
Fabric Notebooks, and Databricks.
Develop high-performance PySpark transformations and build optimized Delta Lake tables for enterprise data processing.
Write and optimize complex SQL/T-SQL queries, stored procedures, views, functions, CTEs, and performance-tuned scripts.
Design and develop Azure Data Factory (ADF) pipelines for orchestrating enterprise data ingestion and transformation.
Build and maintain scalable Lakehouse solutions using Microsoft Fabric and OneLake.
Perform data ingestion, cleansing, transformation, validation, and reconciliation to ensure data quality and consistency.
Establish data quality checks, lineage, reconciliation ("apple-to-apple" validation), and governance across enterprise datasets.
Develop and optimize semantic models and support Power BI datasets for enterprise reporting and analytics.
Collaborate with Data Engineers, BI Developers, QA teams, and business st
📌 Lead Azure Data engineer (India)
🏢 SWITS DIGITAL Private
📍 India