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Azure Data Engineer

Job Description - Azure Data Engineer

Description

Key Responsibilities



  • Design, build, and maintain data pipelines using Azure services

  • Develop and optimize solutions using Azure Synapse Analytics (pipelines, Spark, SQL pools)

  • Implement ETL/ELT processes for ingesting and transforming data from multiple sources

  • Design and manage data models to support reporting and analytics

  • Work with structured and unstructured datasets in a data lake environment

  • Ensure data quality, integrity, and consistency across pipelines

  • Optimize performance of queries, pipelines, and storage

  • Collaborate with data analysts, data scientists, and business stakeholders

  • Support deployment, testing, and monitoring of data solutions

  • Maintain documentation for data processes and architectures



Responsibilities





Required Skills & Experience



  • Strong hands-on experience with Microsoft Azure data services

  • Proven experience with Azure Synapse Analytics (pipelines, Spark, SQL)

  • Proficiency in SQL and Python

  • Experience with data warehousing concepts and dimensional modeling

  • Experience with ETL/ELT design and implementation

  • Familiarity with Azure Data Lake Storage (ADLS)

  • Understanding of distributed data processing (e.g., Spark)

  • Experience with version control and CI/CD practices (Azure DevOps preferred)


Soft Skills



  • Strong analytical and problem-solving abilities

  • Good communication and stakeholder interaction skills

  • Ability to work independently and within a team

  • Attention to detail and focus on quality





 











Qualifications

Preferred Qualifications



  • 6+ years of experience in Data Engineering.

  • Experience with Delta Lake or similar technologies

  • Exposure to Azure Data Factory

  • Knowledge of performance tuning and query optimization

  • Understanding of data governance and security best practices in Azure



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