Description

Job Description:     

Responsibilities:

  • 10+ years of experience in Data Engineering and ETL
  • Minimum of 3 years of Azure DE and Databricks experience
  • In-depth technical knowledge of tools like Azure Data Factory, Databricks, Azure Synapse, SQL DB, ADLS etc.
  • Experience in pyspark, Python
  • Experience in Data Modelling
  • Experience in collaborating with business stakeholders to identify and meet data requirements
  • Experience in using Azure services and tools to ingest, egress, and transform data from multiple sources
  • Delivered ETL/ELT solutions including data extraction, transformation, cleansing, data integration and data management
  • Implemented batch & near real time data ingestion pipelines
  • Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc.
  • Excellent written and oral communication skills

GOOD TO HAVE

  • Proven ability to work with large cross functional teams with good communication skills.
  • Experience on Cloud migration methodologies and processes
  • Azure Certified Data Engineer
  • Exposure to Azure Dev ops and Github
  • Ability to drive customer calls independently
  • Ability to take ownership and work with team


 

Key Skills
Education

Any Graduate

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