Azure Data Engineer

Role Overview

We are seeking a dynamic and experienced Data Engineers in our Banking and Capital Markets practice.

What You Will Do

Candidate will be responsible for coding transformation in Pyspark Notebooks, using Azure Data Factory (ADF) for data orchestration, and performance tuning (Synapse pipelines & Dedicated Pools).

Why It Might Be a Fit

The ideal candidate will have experience working with cross-functional teams, Agile methodology, and Agile PODS.

Requirements

• ETL using Spark Notebooks
• Python
• Pyspark
• Azure Platform Exposure
• Azure Services: Synapse Analytics Workspace, Synapse Dedicated Pool, Azure Data Factory, Azure Key Vault
• SQL – TSQL/ ANSI-SQL
• Data warehousing concepts – SCD1 / SCD2 implementation, Dimensional modeling
• DB – Synapse / SQL-SERVER
• OS – Windows/Unix