Job Description

• Develop and support enterprise data services, and ensure operational stability and performance through continuous optimization. * Work hand-in-glove the product owners and various stakeholders Develop and support enterprise data services, and ensure operational stability and performance through continuous optimization. Work hand-in-glove the product owners and various stakeholders to deliver features, using best-of-breed technologies and robust engineering methodologies. Coordinate closely with platform engineers to ensure the data services remain performant and scalable amid seasonal demand patterns. Demonstrate technical and product expertise, and be able to advise business users and solution new features. Requirements: Bachelor degree in Computer Science, Computer Engineering or equivalent. At least 4 years experience of working as a data engineer or backend developer in a big data field. Good working knowledge of Linux (or Unix-like) Operating System. Solid working knowledge of enterprise-grade database technologies and languages (Oracle PL/SQL, SQL). Exposure and knowledge in the following technologies is advantageous:Data Virtualisation - Denodo Database and Big Data Platforms - Oracle, MS SQL, Snowflake, JDBC/ODBC Programming and Scripting - Java, Python, Shell Script, REST API AWS services (S3, RDS, Athena, CloudWatch) Experienced with Software Development Life Cycle (SDLC) processes, and Agile methodologies like Scrum and Kanban. Understand the best-practices of code versioning, testing, CICD, and documentation. Good team player, with strong analytical skills and enjoys complex problem solving with innovative ideas. Strong communication/people skills required to interact with data analysts, business end-users and vendors to design and develop solutions. Skillset (must have) Python Java SQL REST API Skillset (good to have) Data Virtualization Denodo Tableau