Description

Responsibilities Assign a dedicated Data Engineer to serve as the primary technical resource for data integration, migration, implementation, and post-deployment support activities throughout the project lifecycle. Design and configure the Azure Synapse environment, including implementing private endpoint connectivity and developing linked services. Migrate existing pipelines, convert Talend ETL jobs, and validate source-to-target data accuracy. Troubleshoot technical issues and support system integration testing, user acceptance testing, production deployment, and operational stabilization. Provide technical guidance, documentation, knowledge transfer, and ongoing collaboration with cloud infrastructure, cybersecurity, database administrators, application owners, and business stakeholders. Build data analytics solutions using Azure Synapse serverless SQL pools and perform data engineering with Azure Synapse Apache Spark Pools. Monitor, troubleshoot, and optimize data systems and pipelines for high availability and performance. Work with Data Warehouses, Data Lakes, and Data Marts using Azure Synapse Analytics. Transfer and transform data with Azure Synapse Analytics pipelines and optimize data storage solutions. Design and implement data storage solutions using Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database. Develop and maintain schematics, architectures, and databases for advanced analytics. Requirements Experience with Agile Development methodologies. Data Warehouse experience. Knowledge of DevOps practices. Proficiency with Azure Data Factory and Synapse Analytics for data conversions, imports, and exports. Experience automating tasks with scripting tools like PowerShell. Familiarity with Azure Cloud Technologies such as Power Apps and Dataverse. Ability to integrate data from multiple sources, ensuring data quality and security. Minimum of eight (8) years of software development experience. Hands-on experience with Azure Synapse, Azure Data Factory, Azure Databricks, and Azure Stream Analytics.

 Expertise in software development using C#, ASP.NET, Web Services/APIs. Experience with Microsoft DevOps or GitHub and Azure Cloud Services certification or experience. Prior experience with Java/.NET and JavaScript preferred. Familiarity with Oracle and SQL databases. Strong communication, collaboration, and customer service skills. Educational background in computer science, statistics, mathematics, economics, or related fields; a bachelor's or master's degree required, with substitution of 3 years of experience possible. Previous experience with Maryland Department of Transportation (MDOT) is a plus. OpenKyber, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. OpenKyber not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

Key Skills

Education

Any Graduate