Ascent

Data Engineer (Azure, Azure Databricks, ADF) - flexible hybrid

Ascent
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3 days ago
United Kingdom (city not specified) +2 moreMid Level

Responsibilities

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

Requirements

  • Strong experience with Azure cloud, Azure Databricks, and Azure Data Factory pipelines.
  • Knowledge of data modeling concepts and techniques for data warehouse and transactional systems.
  • Experience with Azure Databricks, Delta Lake, Python, MS SQL Server, and T-SQL.
  • Experience with 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.
  • Power BI experience is preferred.

Benefits

  • Flexible hybrid work arrangement.
  • Opportunities to develop within Acuity Analytics’ Product and Business Innovation function.
  • People-focused organization that invests in employee development and new team opportunities.

Tech Stack

AzureDatabricksGitMicrosoft SQL ServerPowerShellPython

Categories

Data Engineering
Ascent

About Ascent

501-1,000 employees

Ascent Global Logistics provides expedited, time-critical transportation and freight management for shippers, spanning domestic brokerage, international freight forwarding, and managed logistics. The company connects customers to a carrier network through its PEAK digital marketplace and also operates its own cargo airline (USA Jet Airlines) for on-demand air charters. Founded in 2017, Ascent is headquartered in Belleville, Michigan and is privately held by H.I.G. Capital.

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