Shell is a leading company in the energy sector, operating in the United States for over 100 years. They are seeking a Data Engineer who will design and build data foundations and end-to-end solutions to maximize the value from data, while mentoring junior engineers and driving process improvements across teams.
Responsibilities:
- Lead individual Data and Analytics product development in consultation with stakeholders, users, technical and functional leads being responsible to provide end-to-end solutions across data modeling and visualizations to the reporting needs of DE professionals
- Drive requirement gathering and continuous improvement discussions with customers that will drive a single source of truth data across DS
- Lead Process improvements and effective collaboration with different teams including DevOps IT Engineering and continue to learn new technologies and practices recommended by Shell – Agile, Power Apps, ADF etc
- Continuous improvements, working in a natural team environment, agile framework; being a team player is the success factors of this role
- Responsible for run and maintain of complex data model, building and publishing reports to track DS business metrices
- Effectively communicate your strong business acumen and build the business goal using Power BI and ADF
Requirements:
- Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
- Bachelor's degree in any IT discipline
- Minimum 3 years of experience in the IT industry
- Experience in handling large and complex data sets and deriving trend analysis, correlation, data discrepancy and data quality ensuring constancy of data across all platforms
- Must bring Power BI solutions experience to address reporting needs for DS professionals which should enable tracking leading indicators for each of the business units
- Experienced in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines
- Lead ETL [Extract, Transfer & Load] activities. Expertise in Data stage, a solid understanding of Data warehousing concepts with significant experience with ETL Business Intelligence projects
- Provide Power BI solutions to report requirements for RE professionals which should enable tracking leading indicators for each of the business units
- Experience in writing complex SQL queries to perform data analysis. Hands-on experience in Azure Data Factory, Azure SQL, Azure Analytic Servicers, Azure Logic Apps, Power Apps
- Experience in SharePoint end-to-end development and creating workflow solution
- Good hands-on experience with Azure storage services such as Blob, Data Lake, Table Storage
- Experience supporting and working with cross-functional teams in a dynamic environment
- Good project management, requirement gathering and organizational skills
- Self-motivated, Innovative and team player
- Excellent communication and interpersonal skills