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Data Engineer

$ 6,900 - $ 9,500 / month

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Responsibilites

  • Design, develop, and maintain robust data pipelines and architectures.
    Collaborate with cross-functional teams to integrate data from various sources.
  • Implement and manage CI/CD processes to ensure smooth deployments.
  • Optimize Snowflake database performance and ensure efficient data storage.
  • Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
  • Write and maintain detailed technical documentation for data processes and architecture.
  • Monitor and troubleshoot data pipelines to ensure data integrity and quality.
  • Stay current with industry trends and best practices in data engineering and integration.

Requirement

  • Expertise in Snowflake database development.
  • Proficient in Azure Data Factory and the MS Fabric stack.
  • Experience with Continuous Integration / Continuous Deployment (CI/CD).
  • Strong background in advanced data integration and engineering.
    Proven ability to write clear and comprehensive technical documentation.
  • Experience with multiple cloud platforms, specifically Azure and AWS.
    Strong problem-solving skills and attention to detail.
  • Excellent collaboration and communication skills.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
  • Minimum 5 years of experience in a similar role.

Responsibilites

  • Design, develop, and maintain robust data pipelines and architectures.
    Collaborate with cross-functional teams to integrate data from various sources.
  • Implement and manage CI/CD processes to ensure smooth deployments.
  • Optimize Snowflake database performance and ensure efficient data storage.
  • Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
  • Write and maintain detailed technical documentation for data processes and architecture.
  • Monitor and troubleshoot data pipelines to ensure data integrity and quality.
  • Stay current with industry trends and best practices in data engineering and integration.

Requirement

  • Expertise in Snowflake database development.
  • Proficient in Azure Data Factory and the MS Fabric stack.
  • Experience with Continuous Integration / Continuous Deployment (CI/CD).
  • Strong background in advanced data integration and engineering.
    Proven ability to write clear and comprehensive technical documentation.
  • Experience with multiple cloud platforms, specifically Azure and AWS.
    Strong problem-solving skills and attention to detail.
  • Excellent collaboration and communication skills.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
  • Minimum 5 years of experience in a similar role.