Cloud Data Engineer

Job description

• 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.
• bility 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.