AVP/VP, Enterprise Data Management, Data Strategy Group

Employer
GIC Private Limited
Location
Singapore, Singapore
Salary
Competitive
Posted
29 Jun 2022
Closes
19 Jul 2022
Ref
15640259
Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Data Strategy Group
Data Strategy Group (DSG) harnesses and leverages on GIC's most valuable asset - Data, to drive insights, results and solve real business challenges. We ingest, analyse, and combine data with context across all industries and asset classes to enable investment decisions and enhance investment process. Together, we strive to build a high-performance enterprise data infrastructure, create results-driven approach with data products and strive to be a data-driven organization.

You will be a part of our DSG's Data Management team, leading the Enterprise Data Management and our Central Data Services Layer team. This is a key role in expanding and optimizing our data and data pipeline architecture, as well as looking after the operation and requests from multi-functional teams.

In your new role, you will have the opportunity to engage in building GIC's data foundation and infrastructure with a team of forward-looking data professionals. Join us and make a difference in our data journey to shape our world of investments.

Responsibilities
  • Responsibilities leading our Enterprise Data Management team include:
    • Work closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology
    • Design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned area
    • Analyse 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
    • Conduct requirement workshop with stakeholders and analyse requirements holistically
    • Design and implement scalable data pipelines and data service modules with robustness in-mind to support the growing demands from business users
  • Responsibilities leading the Central Data Service Layer sub-team include:
    • Analyzing and translating business needs into long-term solution data models
    • Work closely with data platform teams to build systematic process and services to support efficient onboarding and management of data sets into the data virtualization laye

    Requirements
    • Bachelor's degree in Computer Science, Computer Engineering or equivalent
    • At least 3 years' experience of working as a data engineer or application developer in a big data or software engineering field
    • Demonstratable experience in data modelling, application integration with RDBMS such as Oracle, MS-SQL or MySQL. (Working knowledge of Oracle and MS-SQL will be a plus)
    • Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java and Python
    • Hands-on experience of using Linux (or Unix-like OS) as the development environment and familiar with shell scripts and command line tools in Linux/Unix environment
    • Exposure and knowledge in the following technologies is advantageous:
      • Data mesh products, such as Denodo
      • Programming and Scripting: Python, Shell Script, Informatica
      • Big Data Platforms - Snowflake, Hadoop (Spark, Hive, Impala, HDFS)
      • SQL Databases: Oracle, MS-SQL
    • Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban
    • Understand and apply the good industry practice of code versioning, testing, CICD 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
    • Meticulous and work well with detail

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