• Design and implement Data Ingestion from multiple sources to Azure Data Storage services.

• Design & Implement Azure data services and tools to ingest, egress, and transform data from multiple sources.
• Design & deploy ETL, ELT jobs to curate, transform and aggregate data to create source models for end user analytics use cases.
• Design data ingestion into data modelling services to create cross domain data models for end user consumption.
• Utilize Azure compute services [Data Factory, Data Lake Store, Apache Spark, Synapse] to implement transformation logic and stage transformed data.
• Work closely with the Client and Architects to develop Azure Data Platforms including machine Learning.
• Collaborate with business stakeholders to identify and meet data requirements.

Skills Required:

• Expert level knowledge on Azure Data Factory
• Must have experience designing and maintaining Datawarehouse
• Must have knowledge on Azure Data Lake Storage
• Must have knowledge on Azure Synapse
• Good to have knowledge on Python, Scala and Apache Spark
• Good knowledge of SQL, Power BI would be preferred
• Should be able to analyze and understand complex data
• Excellent interpersonal/communication skills (both oral/written) with the ability to communicate at various levels with clarity & precision

If interested, kindly share your updated profile along with the below details:

• Total Experience:
• Relevant Experience in Azure Data Factory:
• Relevant Experience in Power BI
• Current Location:
• Willingness to relocate to Hyderabad
• Current Salary:
• Expected Salary:
• Notice Period: