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Azure Data Engineer

  • Source: Naukri
  • Randomtrees
  • Hybrid
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Roles and Responsibilities

  • Utilize PySpark/DataBricks for big data processing tasks such as ETL processes.
  • Develop complex SQL queries to optimize database performance and troubleshoot issues in Snowflake databases.
  • Collaborate with cross-functional teams to gather requirements for data processing needs and design solutions that meet business needs.
  • Design, develop, test, deploy, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Snowflake.

Desired Candidate Profile

  • 6-11 years of experience in designing and developing large-scale data pipelines using ADF or similar tools like Azure Databricks.
  • Strong understanding of SQL programming language with expertise in writing efficient queries for query optimization on Snowflake DBs.
  • Proficiency in working with PySpark/DataBricks for big data processing tasks such as ETL processes.

Skills

  • microsoft-azure
  • pyspark
  • azure-databricks
  • databricks
  • Snowflake
  • azure-data-factory
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