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