Key Responsibilities

Designing And Implementing Highly Performant Data Ingestion Pipelines From Multiple Sources Using Azure Tools
• Developing Scalable And Re-Usable Frameworks For Ingesting Of Assorted Data Sets
• Integrating The End-To-End Data Pipeline To Take Data From Source Systems To Target Data Repositories Ensuring The Quality And Consistency Of Data Is Always Maintained
• Manage And Lead Junior Data Engineers And Provide Guidance, Support And Mentor Other Members Of The Team As Well As Do Hands-On Work
• Working With Event Based / Streaming Technologies To Ingest And Process Data
• Working With Other Team Members For Implementing Data Pipelines And Solutions In Production Using Devops For Deployment/Automation
• Working With Azure Ci/Cd Pipelines
• Delivering And Presenting Technical Solutions To Business Users, Technical Teams And Clients

We Are Looking For

Qualifications:
• Strong Knowledge Of Data Management Principles
• Experience In Building Etl / Data Warehouse Transformation Processes
• Direct Experience Of Building Data Pipelines Using One Of The Following Azure Data Factory, Azure Synapse, Azure Databricks
• Hands On Experience Designing And Delivering Solutions Using The Azure Data Analytics Platform (Azure Ai), Azure Storage, Azure Sql Data Warehouse, Azure Data Lake, Azure Cosmos Db, Azure Stream Analytics
• Ability To Work Seamlessly Within A Team, React Quickly To A Fast Paced, And Rapidly Changing Environment
• Strong Capacity For Logical Thinking With The Ability To Understand Complex Applications
• 5+ Years Hands On Experience Using Databases
• Excellent Written And Verbal Communication Skills

Education And Preferred Experience:
• Bachelor’S Degree Or Combination Of Equivalent Education And Experience In Related Fields.
• 8+ Years Hands On Experience Providing Solution Design With Bi Systems And Bi Reports.
• Experience Using Geospatial Frameworks On Apache Spark And Associated Design And Development Patterns
• Expert Or Professional Level Azure Certifications Is A Plus

Azure Cloud, Building Dw And Data Pipelines Or Any Other Cloud