Data Engineer

Milestone Technologies is looking for a Data Engineer to support a clients EDW migration from on-prem (SQL Server 2016) to the Azure Cloud. This role will focus on the data quality and errors for the new data pipes established from the source to the new target cloud database. You will work closely with the team that is designing and building the data pipes as well as the lead business analyst who is working with internal stakeholders defining the data quality requirements and thresholds. You will be responsible for designing and building the processes for measuring data quality, data transmission failures, and data load errors. In addition to this, you will be expected to work with report developers to create dashboards and reports showcasing the data quality.
Translate data requirements for new data quality controls and thresholds into technical designs and specifications
Create automated processes to measure data quality, failures, and errors
Analyze existing systems and data pipes to identify areas for improvement or opportunities to enhance
Continue to help evolve and improve the data quality processes and templates
Profile data sources to understand existing quality issues in the ETL processes
Collaborate on data modeling tasks including recommending and evaluating designs based on Kimball dimensional data modeling practices
Aggregate and combine raw information from different data sources
Explore ways to enhance data quality and reliability including helping with the development of support and remediation processes
Identify opportunities for data acquisition
Develop analytical tools and processes to measure and report data quality
Help adjust and tune existing CI/CD framework and processes (Azure DevOps) as needed to improve data quality
Assist Senior BI Engineer and Senior Data Engineer on innovative technology POCs

Skills

Bachelors Degree or higher in a technical field such as Engineering, Computer Science, etc.
Minimum 5+ years of experience designing, building, and supporting data pipes
Minimum 2+ years of experience creating automated solutions for measuring data quality for ETL processes
Minimum 1+ year of recent experience working with the following Azure Data Services: Azure Data Catalog, Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analysis Services, Azure Data Factory
Strong background working with Microsoft SQL Server databases (preferably 2016)
Understanding of Power BI and DAX functions (do not need to be a report developer or data visualization expert)
Able to read and edit PowerShell scripts
Prior experience working with CI/CD processes using Azure DevOps
Strong interpersonal and customer relationship skills
Ability to communicate to multiple levels of the organization and with non-technical partners
Experience reading and editing Python scripts