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Azure Data Engineer

  • Source: Naukri
  • mroads
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Roles and Responsibility

  • Design and develop large-scale data pipelines using Azure Data Factory and Databricks.
  • Create efficient ETL processes to extract, transform, and load data from various sources into Azure Blob Storage and other target systems.
  • Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
  • Develop and maintain complex SQL queries to optimize database performance and troubleshoot issues.
  • Implement data quality checks and validation processes to ensure accuracy and integrity of the data.
  • Work closely with stakeholders to understand their data needs and provide timely updates on project progress.

Job Requirements

  • Strong understanding of SQL concepts, including query optimization and performance tuning.
  • Experience with Databricks, Azure Data Factory, and ETL pipeline development.
  • Knowledge of data processing technologies such as data warehousing, data lakes, and big data analytics.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
  • Strong analytical and critical thinking skills, with the ability to make informed decisions.

Skills

  • microsoft-azure
  • azure-data-factory
  • azure-databricks
  • databricks
  • azure-storage

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