Cloud Data Engineer

Data Engineer

6 8+ years of experience as a Data Engineer or a similar role developing modern data pipelines and applications for Analytics use cases.

3 - 5+ years of experience with Full Stack web app and web portal development with DevOps practices.

5 years of cloud data solution design experience with PaaS / SaaS applications.

4 years of experience and proficiency with Azure Data Platform stack: Analysis Services, Synapse Analytics, Data Factory, Azure Stream Analytics, Azure Event Hubs, Data Lake, and Azure Databricks and Azure SQL Servers to create data processing solutions.

5 years of experience with SSAS tabular models, Power BI, Dataflows and DAX.

5 years of proven coding expertise with SQL, R, Python, Spark, Java, node.js, and PowerShell, HTML, CSS, JavaScript.

Knowledge of statistical, data mining, AI / Client techniques (regression, decision trees, clustering, neural networks, and deep learning frameworks, etc.)

Experience in Big Data/Hadoop Ecosystems

Experience implementing REST services with support for JSON, XML and other formats

Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts

Proven experience in creating powerful and meaningful visualizations.

Working Knowledge of IoT technologies.

Ability to interact across teams and at all levels to present analytical and technical content.

Solid technical writing and communication skills.

Self-starter and ability to work with minimal supervision.

Learning mindset and Flexibility to adapt to changing work requirements.

Intellectual curiosity along with excellent problem-solving and quantitative skills.

Experience performing root cause analysis on errors related to data ingestion, movement, and transforms.

Working knowledge of CI/CD methodologies specific to Azure DevOps pipelines with Terraform code.

Familiarity with U.S. Government cybersecurity framework and requirements.

Prior U.S. military experience preferred but not required.