Azure Data Engineer Job at PROCYON TECHNOSTRUCTURE, Remote

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  • PROCYON TECHNOSTRUCTURE
  • Remote

Job Description

Key Responsibilities

  • Design, develop, and maintain data ingestion, transformation, and storage solutions on Azure.

  • Build scalable ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks, Azure Synapse Pipelines , etc.

  • Develop and optimize data models , data marts, and enterprise data warehouses.

  • Work with structured and unstructured data using Azure Data Lake Storage (ADLS) Gen2 .

  • Implement data transformation using Databricks (PySpark/Scala), SQL, or Synapse .

  • Manage and optimize Azure Synapse Analytics , including serverless and dedicated SQL pools.

  • Implement CI/CD processes for data solutions using Azure DevOps .

  • Ensure data quality, governance, privacy, and compliance across all environments.

  • Monitor performance, troubleshoot issues, and implement continuous improvements.

  • Collaborate with business teams, data analysts, and data scientists to deliver end-to-end data solutions.

  • Create clear documentation for pipelines, architecture, and operational processes.

Required Skills & Qualifications

  • Strong hands-on experience with Azure Data Factory , Azure Databricks , Azure Synapse , and ADLS .

  • Proficiency in SQL , PySpark , and Python (preferred).

  • Experience in ETL/ELT pipeline development and orchestration.

  • Solid understanding of data warehousing concepts (star schema, SCDs, fact/dimension modeling).

  • Experience with Azure DevOps , Git, and CI/CD pipelines.

  • Knowledge of Azure Event Hub, Azure Stream Analytics, or Kafka is a plus.

  • Ability to work with large-scale datasets and optimize performance.

  • Familiarity with data governance , security , and Azure IAM .

  • Strong problem-solving skills and ability to work in a fast-paced environment.

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