Location: Chennai,Bangalore,Hyderabad
Collaborate with multiple teams to develop and maintain Data Pipelines, harvesting data from Systems of Record to create data products.
Engage in complex coding activities using U-SQL, Spark (Scala or Python), and T-SQL.
Develop modern data warehouse solutions utilizing the Azure Stack (Data Lake, Data Factory, Databricks) or AWS/GCP Stack
Analyze data and strategize for populating data lakes.
Skills/Qualifications:
6 to 8 years of experience as an Azure/AWS/GCP Data Engineer, including hands-on experience with Databricks.
Proven ability to transform business use cases and requirements into technical solutions.
Expertise in Azure/AWS/GCP services: Data Factory, Data Lake, Synapse, Data Lake Analytics & U-SQL, SQL DW.
Proficiency in Python, Spark, and SQL.
Experience with Azure DevOps and CI/CD (using ARM, YAML, Terraform).
Familiarity with source code control systems such as GIT"
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