Description

Key Skills: Azure ADF, Azure Synapse, TSQM, Python, Azure Databricks, Pyspark, PL/SQL, Tableau, .NET

Roles and Responsibilities:

• Develop and maintain data integration pipelines using Azure Data Factory, including orchestration and connectivity across Azure data services.
• Build scalable data processing jobs in Azure Databricks using PySpark for transformation and loading of large datasets.
• Design and implement data solutions using Azure Synapse for ingestion, transformation, and analytics-ready outputs.
• Write and optimize SQL for data marts and reporting, including T-SQL development and PL/SQL support where applicable.
• Troubleshoot and support production data workflows, including performance tuning, data reliability improvements, and access/security issue resolution.

Skills Required:

• 4-15 years of relevant experience in Azure data engineering and SQL/Python-based data solutions
• Azure Data Factory (ADF) for ETL orchestration and pipeline development
• Azure Databricks and PySpark for distributed data processing
• Azure Synapse for building integrated analytics and data warehousing solutions
• Python scripting plus SQL development (T-SQL and PL/SQL) for data extraction, load, and reporting

Good to Have:

• .net application experience
• Tableau-driven dashboard design

Education: Bachelor's Degree in Computer Science or related field

Key Skills

Education

Any Graduate