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Walk-in || azure data engineer with pyspark and databricks walkin 25 jul hyd

  • Source: Naukri
  • Tata Consultancy Services
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Roles and Responsibilities

  • Design, develop, test, deploy, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, load (ETL), and integrate data from various sources into Azure Data Lake Storage.
  • Collaborate with cross-functional teams to gather requirements for ETL processes and design solutions that meet business needs.
  • Develop complex SQL queries to optimize database performance and troubleshoot issues in Azure Databricks.

Desired Candidate Profile

  • 5-10 years of experience in Azure Data Engineering with expertise in ADF, PySpark, Databricks.
  • Strong understanding of SQL concepts including joins, aggregations, subqueries etc. .

Skills

  • microsoft-azure
  • pyspark
  • azure-databricks
  • databricks
  • azure-data-factory
  • azure-storage
  • aws-data-lake-storage
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