Senior Data Engineer

Job Description

Job Overview The Senior Data Engineering Consultant will be responsible for requirements gathering, solutioning, designing and building modern data platforms to support data-driven decision making. The Engineer will execute technical implementation of data engineering and visualization projects, and will be a hands-on role. The Senior Data Engineering Consultant will help build a data and analytics consulting practice by taking part in recruiting efforts, creating technical collateral, and staying on top of technology trends with ongoing training and certifications. The entire consulting team will be responsible for building long-term strategic relationships with clients and participating in all aspects of project delivery Key Responsibilities Lead and drive discovery sessions with external clients and build state-of-the-art data architectures. Work with stakeholders to understand their problem statements, data requirements and implement solutions that meet their needs. Design, implement, and develop data pipelines to collect and process large amounts of data from various sources. Implement data storage solutions that are scalable, secure, and efficient, such as data warehouses and databases. Develop and implement data validation and testing processes to ensure that data is processed accurately and efficiently. Automate data collection, processing, and reporting processes to minimize manual work and improve efficiency. Create high quality documents to capture problem statements, requirements, solutions and designs. Support pre-sales activities, including whiteboard sessions, collaborating on solution architecture design, and assisting in proposal and statement of work creation. Contribute to the development of reusable, repeatable collateral for use across the practice. Obtain / maintain training and certification in cloud technologies. Work with the marketing team to produce content to promote the practice across the region. Key Requirements Bachelors degree in Computer Science, Information Technology, or a related field. 7-9 years of data engineering experience in data management, database architecture, data engineering, or data v