Azure Big Data Specialist

Bengaluru, KA, India

PradeepIT

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Job Description:

Responsibilities:

Overall 7 8 years of experience with a minimum 5+ years of relevant professional work experience

  • Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
  • Work together with data analysts to understand the needs for data and create effective data workflows.
  • Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake
  • Utilizing Azure Data Factory to create and maintain ETL (Extract, Transform, Load) operations using ADF pipelines.
  • Hands-On Experience working on Data Bricks for implementing Transformations and Delta Lake
  • Hands-On Experience working on Serverless SQL Pool, Dedicated SQL Pool
  • Use ADF pipelines to orchestrate the end to end data transformation including the execution of DataBricks notebooks.
  • Should have experience working on Medallion Architecture
  • Experience working on CI/CD pipelines using Azure DevOps
  • Attaching both ADF and ADB to DevOps
  • Creating and managing Azure infrastructure across the landscape using Bicep
  • Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
  • Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
  • Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
  • Good to have exposure on Power BI, Power Automate
  • Good to have knowledge on Azure fundamentals

Desirable skills

  • Good ability to anticipate issues and formulate remedial actions
  • Sound interpersonal and team working skills
  • Sound Knowledge of unit testing methodologies and frameworks
  • Should be able to work independently
  • Good communication skills
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Big Data Jobs

Tags: Architecture Azure Big Data CI/CD Databricks Data pipelines DevOps ETL Pipelines Power BI SQL Testing

Region: Asia/Pacific
Country: India

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