Job Description:

Experience in SQL Programming language.
Knowledge of end-to-end process on creation maintenance of Data pipelines.
Working experience on Azure DevOps is a must.
Working Knowledge on Azure Data factory Azure Data Lake and Azure Data lake storage.

Proficiency in Azure synapse.
Implement end end data pipelines using cosmos Azure Data factory.
Experience on Version control ADO GIT CI CD.

Should have good analytical thinking and Problem solving. 
Ability to showcase data analysis effectively using KPI’s metrics charts.
Experience with Data quality implementations assessing data correctness completeness uniqueness etc.
Experience working on PII GDPR handling sensitive data encryption decryption.
Able to work as Individual contributor and with offshore team.

Responsibilities Expectations from the role:
Good communication and coordination skills.
Requirement Analysis and questioning skills.
Create Maintain and Enhance Data Pipeline.
Daily status reporting interacting with Leads.
Data Platform Product telemetry Analytical thinking.
Data Validation of the new streams.
Data quality check of the new streams.
Debugging of issues and making good quality code fixes. 
Monitoring of data pipeline created in Azure Data factory. 
Updating the Tech spec and wiki page for each implementation of pipeline.
Updating ADO on daily basis.

Good to have:
Hands on in Visualization like PowerBI.

Marketing Campaign experiences.

Technical Skillset Required   Azure Data Factory EDL SQL Server 2016 Azure Synapse   

Azure Cosmos DB Azure Databricks PySpark Python Excel Azure Databricks EDL 
Technical Skillset Good to have Power BI Azure synapse.