Key Responsibilities
Design and implement end-to-end data solutions using Azure Synapse and Microsoft Fabric.
Develop and optimize data pipelines, dataflows, and ELT/ETL processes using Data Factory, Synapse Pipelines, and Fabric Data Factory.
Build and maintain Lakehouse and Data Warehouse architectures in Fabric and ADLS.
Implement Synapse components including Dedicated SQL Pools, Serverless SQL Pools, Spark Pools, and Pipelines.
Manage data ingestion from various sources (API, SQL, SaaS apps, On-Prem) into Data Lake and Fabric Lakehouse.
Create and optimize Notebooks (PySpark/SQL) and warehouse queries for performance and cost efficiency.
Work with Power BI teams to enable seamless data consumption and semantic model creation.
Implement data governance best practices including Data Lineage, Security, DQ checks, Purview, and role-based access.
Automate data workflows using CI/CD (Azure DevOps / GitHub).
Monitor, troubleshoot, and optimize performance across Synapse and Fabric workloads.
Collaborate with cross-functional teams for solution design, architecture reviews, and delivery.
Required Skills & Experience
4+ years of experience in data engineering with strong Azure cloud background.
Deep hands-on experience with Azure Synapse Analytics (SQL Pools, Pipelines, Spark, Serverless).
Strong experience working with Microsoft Fabric (Lakehouse, Data Engineering, Data Factory, Warehouse).
Proficiency in T-SQL, PySpark, and Azure Databricks (nice to have).
Strong understanding of Data Lake architectures (Medallion) and best practices.
Experience integrating with Power BI and building optimized semantic data models.
Knowledge of Azure Data Factory, ADLS Gen2, Event Hub/Service Bus.
Experience with Git-based development, CI/CD pipelines, and deployment automation.
Strong analytical, debugging, and performance-optimization skills.
Experience with data governance tools like Microsoft Purview.

Keyskills: Microsoft Fabric Azure Synapse Analytics Fabric Data Engineering Azure Data Factory Data Factory PySpark ADLS Gen2 Synapse Pipelines Fabric Data Factory Dedicated SQL Pools Serverless SQL Pools
We are hiring Fulltime with TechMahindra for below mentioned Skills:\\\\n\\\\n1. Experience with Big Data Environment\\\\n\\\\n2. Hands on coding in Python, Spark, Hive\\\\n\\\\n3. Shell Scripting