Azure Data Engineer - W2 (H1B/OPT) Accepted

Azure Data Engineer - W2 (H1B/OPT) Accepted

Posted 2 weeks ago by 1750937913

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Negotiable
Outside
Remote
USA
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Apache Hadoop Apache Spark Azure Data Factory Big Data Continuous Integration and Continuous Delivery Data Engineering Data Governance Data Infrastructure Data Integration Datamodel Data Modeling Data Privacy Laws Data Processing Data Security Data Store Data Warehousing Development Environment Extract Transform Load (ETL) Generic Programming Git (Version Control System) Microsoft 365 Microsoft Azure Python (Programming Language) Scala (Programming Language) Scalability Software Development SQL (Programming Language) Version Control

Summary: The Azure Data Engineer role involves designing, developing, and maintaining data infrastructure on Microsoft Azure. The position requires collaboration with data scientists, software engineers, and product managers to ensure efficient and scalable data systems. Candidates should have significant experience in data engineering, particularly with Azure services. The role is remote or based in Austin, Texas, and is classified as outside IR35.

Key Responsibilities:

  • Design, develop, and maintain data pipelines and ETL processes on Microsoft Azure.
  • Collaborate with data scientists and analysts to understand data requirements and build data models.
  • Optimize data storage and retrieval processes for performance and scalability.
  • Implement and manage data security measures to ensure data privacy and compliance.
  • Write clean, maintainable, and well-documented code, adhering to best practices.
  • Conduct code reviews and contribute to a collaborative development environment.
  • Troubleshoot and debug complex technical issues related to data processing.
  • Stay up-to-date on the latest advancements in Azure data services and related technologies.

Key Skills:

  • 5+ years of experience as a Data Engineer, with a focus on Azure.
  • In-depth knowledge of Azure data services (e.g., Azure Data Factory, Azure SQL Database, Azure Synapse Analytics).
  • Proficiency in programming languages such as Python, SQL, or Scala.
  • Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions.
  • Familiarity with data modeling, ETL processes, and data integration techniques.
  • Proficiency in version control systems (Git) and familiarity with CI/CD pipelines.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Experience with data governance and compliance is a plus.
  • Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.

Salary (Rate): undetermined

City: Austin

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: Azure Data Engineer Full-time

Location: Austin, TX (Remote)

Duration: Long Term

Experience: 6-10 Years


We're searching for a skilled Azure Data Engineer to design, develop, and maintain our data infrastructure on Microsoft Azure. You'll collaborate with data scientists, software engineers, and product managers to ensure our data systems are robust, scalable, and efficient.

Responsibilities:

  • Design, develop, and maintain data pipelines and ETL processes on Microsoft Azure.
  • Collaborate with data scientists and analysts to understand data requirements and build data models.
  • Optimize data storage and retrieval processes for performance and scalability.
  • Implement and manage data security measures to ensure data privacy and compliance.
  • Write clean, maintainable, and well-documented code, adhering to best practices.
  • Conduct code reviews and contribute to a collaborative development environment.
  • Troubleshoot and debug complex technical issues related to data processing.
  • Stay up-to-date on the latest advancements in Azure data services and related technologies.

Qualifications:

  • 5+ years of experience as a Data Engineer, with a focus on Azure.
  • In-depth knowledge of Azure data services (e.g., Azure Data Factory, Azure SQL Database, Azure Synapse Analytics).
  • Proficiency in programming languages such as Python, SQL, or Scala.
  • Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions.
  • Familiarity with data modeling, ETL processes, and data integration techniques.
  • Proficiency in version control systems (Git) and familiarity with CI/CD pipelines.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Experience with data governance and compliance is a plus.
  • Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.

We look forward to meeting you!

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