Strong understanding on any Azure services like ADF, Synapse, Spark/Pyspark, SQL, data analysis will remain critical. Another critical one that the resource should have 5+ years of experience with hands-on with programming. Implementation of data pipelines using big data tools such as Fabric, Azure Data Factory, PySpark, SparkSQL, SQL, Azure DevOps etc. ETL (Extract, Transform, Load) scripts and workflow configurations Analyzing functional specifications, design and development of dimensional models, KPIs and metrics Data Ingestion from various source applications with adherence to business SLAs Implementation of data security measures, such as encryption and access controls Data validation rules, quality checks, and profiling reports Data Migration and conversion from legacy applications to future state data platform Named Job Posting? (if Yes - needs to be approved by SCSC)Additional Details

Global Grade :D

Level :To Be Defined

Named Job Posting? (if Yes - needs to be approved by SCSC) :No

Remote work possibility :No

Global Role Family :To be defined

Local Role Name :To be defined

Local Skills :MS fabric;Microsoft Azure;PySpark;SQL

Languages Required::ENGLISH

Role Rarity :To Be Defined

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Lam DT Phase2 - Data Engineer 1