Azure Data Architect: Databricks, Synapse & Power BI

Ethereum Technologies

Minnesota

On-site

USD 120,000 - 160,000

Full time

6 hours ago
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Job summary

Ethereum Technologies in Minnesota seeks a senior Data Engineer to design and implement scalable data pipelines using Azure Data Factory, Databricks, Synapse, and SQL Server. You will build robust data models, optimize ETL/ELT processes, and mentor junior engineers.

Key requirements include 9 years in data engineering, strong Power BI experience, PowerShell and CI/CD familiarity, and Databricks or Synapse expertise with Python/Spark.

Qualifications

  • 9 years of experience in Data Engineering.
  • Strong hands-on experience with Azure Data Factory, Azure Databricks/Synapse, SQL Server, and Power BI.
  • 3+ years of experience with Databricks or Synapse and Python/Spark.
  • Experience with PowerShell and Power Automate.
  • Strong knowledge of data warehousing, data modelling, ETL/ELT, performance tuning, and Azure data architecture.
  • Experience with ADLS, Delta Lake, Git, CI/CD, and Azure DevOps is preferred.
  • Strong stakeholder communication and mentoring experience.

Responsibilities

  • Design and implement scalable data pipelines using Azure Data Factory, Databricks, and Synapse.
  • Develop robust data models and ETL/ELT processes with performance tuning.
  • Collaborate with stakeholders and mentor junior engineers.
  • Work with ADLS, Delta Lake, Git, CI/CD, and Azure DevOps.
  • Optimize data warehousing architectures and SQL Server solutions.
  • Ensure data quality and governance across the data platform.

Job description

Ethereum Technologies in Minnesota seeks a senior Data Engineer to design and implement scalable data pipelines using Azure Data Factory, Databricks, Synapse, and SQL Server. You will build robust data models, optimize ETL/ELT processes, and mentor junior engineers.

Key requirements include 9 years in data engineering, strong Power BI experience, PowerShell and CI/CD familiarity, and Databricks or Synapse expertise with Python/Spark.

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