Azure Data Engineering Consultant

Role Overview

As an Azure Data Engineer, you will support the implementation of projects focused on collecting, aggregating, storing, reconciling, and making data accessible from disparate sources to enable analysis and decision making. This role will also play a critical part in the data supply chain, by ensuring stakeholders can access and manipulate data for routine and ad hoc analysis.

What You Will Do

Implementation of technical solutions, knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced Analytics, knowledge of Power BI to enhance better data visualizations to the clients.

Why It Might Be a Fit

You will likely have 2 or more year(s) of prior related work experience, analytical, curious, agile, team player and good communicator, problem-solver, patient, quality-driven, self-motivating, innovative mindset.

Requirements

• Existing experience in Data Engineering, ideally with large volumes of data (working with T-SQL)
• Experience in working with the latest Azure technologies, such as; Databricks, Synapse, Data Factory, Azure Data Lake Storage (Gen 2), Cosmos DB
• Understanding of software engineering tools and concepts including coding experience in languages such as Python, Scala, or Pyspark
• Confident communicator who is able to report progress and challenges effectively