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Data Engineer (contract)

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General Details
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
Tech Stack
  • Azure (Data Factory / Fabric / Synapse)
  • Azure DevOps (Repos & Pipelines)
  • Power BI
  • Python, SQL, dbt

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL/ELT processes
  • Transform and model data using tools such as dbt
  • Write efficient and scalable SQL queries
  • Develop and maintain Python-based data workflows
  • Implement and manage CI/CD pipelines for data solutions
  • Collaborate using Azure DevOps for version control, task tracking, and deployments
  • Monitor data pipelines and troubleshoot issues to ensure reliability
  • Contribute to data quality, testing, and documentation practices

Required Skills & Experience
  • 24 years of solid experience in a data engineering
  • Strong knowledge of SQL and relational databases
  • Experience with Python for data processing
  • Familiarity with dbt or similar transformation frameworks
  • Experience with CI/CD concepts and tools
  • Hands-on experience with Azure DevOps (repos, pipelines, boards)
  • Understanding of data warehousing concepts and data modeling
  • Basic understanding of cloud environments (preferably Azure)

Nice to Have
  • Experience with Microsoft Fabric, Azure Data Factory, or Synapse
  • Knowledge of data lake architectures (e.g., medallion architecture)
  • Experience with version control (Git) in a team setting
  • Familiarity with Power BI or other BI tools
  • Experience with automated testing in data pipelines
  • Familiarity with Generative AI tools and use cases (e.g., Microsoft Copilot, Azure OpenAI, or similar tools)
  • Understanding of how GenAI can support data workflows (e.g., code generation, documentation, or data exploration)

Soft Skills
  • Strong problem-solving mindset
  • Good communication skills and ability to work in a team
  • Proactive attitude
  • Attention to detail and data quality

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Executive Placements
Selling for 1 year
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