Associate/AVP, Data Engineer, Data Service Layer

at  GIC Investment

Location:Singapore, SG
Job Function: Data Strategy Group
Job Type: Permanent
Req ID: 15687
GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

WHAT IMPACT CAN YOU MAKE IN THIS ROLE?

You will strive to build a high-performance enterprise data infrastructure, and create a results-driven approach with data products.

WHAT WILL YOU DO AS AN ASSOCIATE/AVP, DATA ENGINEER, DATA SERVICE LAYER?

• Work closely with business end-users to implement and support data solutions using fit-for-purpose technology and methodology.
• Design robust and scalable solutions to meet business needs.
• Work with analysts and users to support enterprise data operations.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Identify actionable trends for continual improvements from systems operations data, such as service level agreements (SLA), customer satisfaction metrics, delivery quality and team efficiency.
• Conduct workshops with stakeholders to gather requirements holistically and provide advisory to business users for their data needs.
• Play an active role in the project coordinating between multiple groups of stakeholders for project execution.
• Ensure compliance with IT security standards, policies and procedures
• Work with data governance team to build the data quality check framework and ensure the data issues are monitored, tracked, and fixed without breaching SLA.
• Keep abreast of emerging technologies and trends in data engineering

WHAT QUALIFICATIONS OR SKILLS SHOULD YOU POSSESS IN THIS ROLE?

• Bachelor’s degree in computer science, computer engineering or equivalent qualifications.
• At least 4 years of experience working as a data engineer or backend developer.
• Solid working knowledge of implementing applications in Java or Python.
• Experience with querying RDMSs using complete SQL queries.
• Developed application that integrates with RDBMSs such as Oracle, MS-SQL or MySQL.
• Working knowledge of Oracle and MS-SQL will be a plus.
• Hands-on experience with working in Linux (or Unix-like) environment.
• Experience with workflow optimization through programmatic means such as process automation or machine learning.
• Experience in the Software Development Life Cycle (SDLC) and/or agile methodologies such as Scrum or Kanban.
• Understand and apply the good industry practice of code versioning, testing, CI/CD workflow and code documentation.
• 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.
• Good at working with details and is meticulous for operations.
• Excellent written and verbal communication skills.Agile and fast learner and able to adapt to change