Data Engineer

Аналитика рынка

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Описание

Key Responsibilities Analyze the client's data needs and document the requirements. Refine data collection/consumption by migrating data collection to more efficient channels. Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs. Develop test plans and scripts for system testing, and support user acceptance testing. Build reports and dashboards according to user requirements. Work with the client's technical teams to ensure smooth deployment and adoption of new solutions. Ensure the smooth operations and service levels of IT solutions. Support production issues. Apply AI coding tools such as Copilot and Coder AI to support development, testing, and code reviews. Use automation to improve development efficiency. This includes build, test, and deployment activities. Leverage AI assistance to improve code quality. This covers refactoring, defect resolution, and documentation. Demonstrate willingness to adopt new AI and automation tools where relevant to work outcomes. What We Are Looking For Good understanding and completion of projects using Waterfall/Agile methodology. Working experience using Cloudera AI (Machine Learning), Plotly, and data engineering AI tool stack. Strong SQL, data modelling, and data analysis skills are a must. Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica. Hands-on experience in a reporting or visualization tool like SAP BO and Tableau is a mu

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