Data engineer- Azure platform Job at Accord Technologies Inc., Remote

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  • Accord Technologies Inc.
  • Remote

Job Description

Data Engineer Azure Platform (Remote)

Azure Certification Needed

Only USC/GC

Max Rate: $50/hr. with benefits

Aero/automotive/heavy industry preferred

Must Have: Certification: Required Microsoft Certified: Azure Data Engineer Associate (or higher), Azure Data Factory,

Job Summary:

We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory , Azure Databricks , Oracle , and PostgreSQL . The ideal candidate will design and implement robust data pipelines, optimize data flows, and contribute to our cloud data platform initiatives using the Microsoft Azure ecosystem.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks (Spark-based) .
  • Ingest, transform, and orchestrate data from various sources including Oracle and PostgreSQL databases.
  • Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver clean, reliable data.
  • Optimize performance of data workflows, especially within Azure environments.
  • Implement data quality checks, lineage tracking, and monitoring processes.
  • Follow and contribute to data governance, security, and compliance policies.
  • Participate in code reviews, documentation, and continuous improvement initiatives.

Required Skills & Experience:

  • Strong hands-on experience with Azure Data Factory and Azure Databricks (PySpark/Scala preferred).
  • Solid working knowledge of Oracle and PostgreSQL databases, including writing efficient SQL queries.
  • Proficient in building ETL/ELT workflows and data orchestration on Azure.
  • Experience with Azure storage solutions (Blob Storage, ADLS Gen2).
  • Strong understanding of data modeling, warehousing concepts, and performance optimization.
  • Familiarity with CI/CD pipelines in Azure DevOps is a plus.
  • Excellent problem-solving skills and ability to work independently or in a team.

Job Tags

Remote work,

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