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Azure data bricks
3 weeks ago
Experience: 5-8yrs
Notice period: Imm to 30 days only.(no 60/90 days)
Location : Mumbai/Kolkata/Bangalore.
Maps source data and builds integration routines and migration rules to load and transport data in support of integrity checks and analytical exploitation.
Enables access to key information to enable one-time or regular data acquisition, determines mechanisms e.g. Stream, virtualise or ETL.
Candidate must have at least 5-8 yrs experience in design and development of ETL solutions in Azure stack
Azure Databricks / Pyspark is mandatory for this requirement
Strong understanding of Azure service components like ADF, Databricks, SQL DB / SQL Server, Azure Blob storage, AAS and Power BI. Should be able to show working experience across all these technologies.
Should be experienced in migrating on-prem and legacy DWH to Azure stack
Must have a working experience in Azure DevOps and CI/CD tools at each phase of the SDLC cycle. All project management and test coordination will happen through DevOps and should be able to manage and drive deliverables and report status through DevOps.
Candidate must be familiar with Azure security model and Storage accounts
Candidate must have Azure Databrick expertise with Python / Spark (Scala would be great). Strong understanding of Data Bricks background architecture, and advanced concepts like Security and productionalization.
Should be able to develop end to end automations in Azure stack – for ETL workflows, data quality validations and reporting, SIT automations through DevOps etc,
Must have good understanding of understanding of provisioning of Databricks and Azure resources
Good understanding of coding standards (code modularization, refactoring), testing automation
Familiarity with Airflow will be an added advantage.
Candidate must have at least 2-3 yrs experience in productionized applications.
Skills
Azure ADF (with Databricks Delta Lake)
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