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Acuity Analytics

Data, AI, and cloud consulting

Data Engineer - Multiple Teams

Data EngineeringPosted on Nov 12
Full-timeNo salary listed

About the Job

Requirements

  • Strong experience with Azure cloud, Azure Databricks, and Azure Data Factory pipelines.
  • Knowledge of data modelling concepts and techniques, including data warehouse and transactional models.
  • Experience with Azure Databricks, Delta Lake, and Python.
  • Experience with MS SQL Server and T-SQL.
  • Experience with the Azure data engineering stack, including Azure Data Factory, Azure Data Lake, and Cosmos DB.
  • Good working knowledge of DevOps, testing, operating, and optimizing complex data flows.
  • Solid experience with Azure, Azure DevOps, Git, Visual Studio, and PowerShell.

Responsibilities

  • Design and implement data processes, including Azure Data Factory pipelines and Databricks.
  • Develop and version data models.
  • Work with cloud-based data infrastructures on Azure.
  • Develop and execute schema and data migrations.
  • Optimize ETL performance.

Desired Qualifications

  • Power BI experience.

About the Company

Acuity Analytics

Data, AI, and cloud consulting

Acuity Analytics is a data and digital engineering consultancy. It helps organizations design and implement data platforms, analytics, artificial intelligence, cloud, software, and digital experience solutions. Its clients include enterprises and public organizations modernizing how they collect, manage, analyze, and use information. The consultancy delivers through multidisciplinary project teams that combine strategy, architecture, engineering, design, implementation, and managed support. Work spans data engineering, analytics, AI, cloud, software development, product design, consulting, and delivery management.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Sofia, Bulgaria
Founded
2012

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