Data Science Associate Engineer

Candidate must have:•Experience in data processing tools such as Talend processing data formats such as CSV, XML, JSON, etc would be required. •The ability to combine big data with traditional relational databases such as SQL Server or Oracle would be an advantage for the role. •The ability to program in Python and an awareness of common libraries and how they are used is beneficial. •Awareness of Tableau or equivalent visualization tools and associated concepts would be beneficial as these are used extensively by the Research Line of Business. •Awareness of Natural Language Processing models, techniques, and concepts would be advantageous as this is a growth area for the Line of Business. •Awareness of the Cloudera big data technology stack and an understanding of big data concepts and demonstrable experience of retrieving data, joining data, and managing data in a Hadoop database via tools such as HUE would be an asset. •A good understanding of ETL tools used on big data platforms and demonstrable experience in creating and managing data pipelines would be essential for this role. Candidate should have• Experience working with ETL, Python, Hadoop, Talend. •Prior experience working in the financial industry is highly preferred.