Functional Data Engineer

Key Activities Are responsible for the data pipelines supporting the landscape and stack for experimentation and exploration. Develop data pipelines between sources and targets. Support the business initiatives in their data driven experiments and explorations. Set up a monitor model to monitor and maintain data pipelines and data transfer processes. Assist and execute in designing and developing effective data strategies. Oversee data related projects to extract, manage, and analyze data from multiple applications, ensuring that deadlines are met. Track key performance metrics on the managed data landscape across departments. Identify business opportunities and ensure internal customer satisfaction. Generate reports of findings and present these to management. Keep abreast of industry best practices and connect Insights from data to Solutions. Identify trends and opportunities for growth through analysis and usage of complex data sets. Participate in the development of a central data platform to leverage different types and sources of data. Experience Required skills Strong ETL and data extraction skills. Strong SQL and/or MySQL skills, ability to perform effective querying involving multiple tables and subqueries. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources. Results-driven and ability to handle multiple projects. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data. Strong problem solving, quantitative and analytical abilities. Understands sensitivity and security questions around data. Able to act in a complex multinational environment. Good communication and presentation skills. Strong interpersonal and time-management skill Preferred skills Skills in Data Factory, Azure, Databricks, R, Python, different types of ETL tools Skills with data visualization tools like Tibco Spotfire, Microsoft PowerBI Relevant experience Experience with Cloud concepts Experience with Microsoft Azure Cloud solutions Experience with data preparation tools: eg Alteryx, Azure Data Factory, Databricks Experience in a Data Engineer position or similar role is required. Work in an agile environment. Educational qualifications Bachelors / Master Degree in Analytics, Computer Science, or related field