Associate/AVP, Senior IT Analyst (Investment Data Engineering)
- Permanent, Full time
- GIC Private Limited
- 16 Dec 17 2017-12-16
The Technology Department (TD) is a key enabler to keep our business moving forward and is constantly exploiting state-of-the-art information technologies to enhance GIC’s ability to be the leading global long-term investment firm. We aim to provide users with empowering and transformational capabilities, and to create an inclusive, innovative and integrated work environment. We are looking for a dynamic, self-motivated and technically competent individual who has an interest in data and technology–data architecture, data modeling, data integration etc. Specializing in the Data domain, you will work in a high-pace data engineering team that is delivering and supporting GIC data needs.
•Work closely with data analysts, data scientists and business end-users to implement and support data solutions using best-of-breed technology and methodology.
•Conduct requirement workshop with business users and analyse requirements holistically.
•Design robust and scalable solutions to meet business needs and takes operational considerations into account. Demonstrate technical expertise in the assigned area.
•Analyse, tackle and resolve day-to-day operational incidents and advisory to business users
•Analyse systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
•Play an active role in the project coordinating between internal resources and third parties/vendors for project execution.
•Provide technical coaching and guidance to juniors
•A good degree in Computer Science, Computer Engineering or equivalent
•Possess more than 2 years of relevant working experience in data modelling, data integration, preferably in an investment and banking environment.
•Experience working with enterprise databases using database technologies (PL/SQL, SQL, NoSQL) data integration products (e.g. Informatica)
•Experience in programming language in .Net, Java, Python
•Good knowledge of Linux family of OS
•Exposure and knowledge in any of the following technologies is advantageous: •Big Data •NoSQL Databases: MongoDB, Cassandra, AWS Redshift, Neo4J, HbaseCloud based Big Data Services: AWS EMR, Azure HDInsight
•Modern frameworks like (angular .js, react.js, node.js)
•Cloud/Mobile •Implemented Cloud Native solutions, including use of container technologies
•Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
•Good team player, with strong analytical skills and enjoy 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
•Passion for data and technology
•CFA equivalent certifications would be an added advantage.
•Good at working with details and is meticulous for operations