Duration: 10-Month contract with extensions Onsite 4 days w/ 1 day remote Required Skills & Experience • Bachelor’s degree in computer science, Computer Engineering, Software Engineering, Information Systems, or related field. • AT LEAST 8-10 years of hands-on experience in building data pipelines, data models and maintaining/supporting enterprise data warehouse solutions • Experience in scaled agile framework for data engineering product delivery • Strong experience with Azure Synapse • Strong experience with SQL and Python • At least 2 year's experience within Oil & Gas industry • At least 2 year's experience within Oil & Gas industry • Scaled Agile, DevOps, Scrum, and ITIL concepts Nice to Have Skills & Experience • Experience with contextualization products (e.g. Cognite) • Experience with data integration tools (e.g. Qlik Replicate) and with data modeling tools (e.g. Erwin) Job Description Insight Global is looking for a Senior Data Engineer to work a hybrid Azure Data Engineering position with one of our Top Oil and Gas clients. The data engineer will be a key contributor in building and maintaining end to end data pipelines for analytics solutions within our Oil& Gas client's Insights & Discovery Platform based on Microsoft Azure Cloud and Azure Synapse Analytics. The Engineer will be building data pipelines for midstream and refining teams, taking the data from the applications that can contextualize information, and data PDFs/drawings, and push them to Cognite. The Data Engineer will be working alongside an established team that handles the day to day operations.
