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Lead Data Engineer (127903)

Date: 03-Nov-2022

Location: Singapore, Singapore

Company: Singtel Group


Singtel, Asia’s leading communications technology group, provides an extensive range of telecommunications and digital services to millions of consumers and businesses across Asia, Australia, Africa and the USA. With over 140 years of innovation behind us, we continue to push boundaries in our networks and services, to enrich lives and transform businesses.


Our core values – Customer Focus, Challenger Spirit, Teamwork, Integrity, and Personal Excellence – shape the way we work. We are passionate about making a difference and have an open and inclusive culture where everyone is empowered to do their best. Our diverse business means you will enjoy unique opportunities and rewarding experiences to learn and grow your career in a dynamic industry.


Join us and experience what it’s like to be with an Employer of Choice*. Together, let’s create a brighter digital future for all. *Awarded at the HR Fest Awards 2020


Role Summary:

This role is accountable to define the big data architecture, design, build and run data pipelines under Singtel Data & Analytics within Group IT:

  • Define and govern big data architecture
  • Provide DevOps architecture implementation and operational support
  • Manage the automation, design, engineering and development work related to data pipelines
  • Drive optimization, testing and tooling to improve data quality
  • Review and approve solution design for data pipelines
  • Ensure that proposed solutions are aligned and conformed to the big data architecture guidelines and roadmap
  • Evaluate and renew implemented data pipelines solutions to ensure their relevance and effectiveness in supporting business needs and growth


Key responsibilities:

  • Establish big data (data lake) architecture along with standards, guidelines and best practices
  • Develop and maintain big data architecture blueprint for Group IT
  • Build and maintain continuous integration and continuous deployment of data pipelines
  • Understand business requirement and solution design to develop and implement solutions
  • that adhere to big data architectural guidelines and address business requirements
  • Fine-tuning of new and existing data pipelines
  • Drive optimization, testing and tooling to improve data quality
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc
  • Build robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users
  • Provide guidance and direction to project delivery and operation teams in regards to big data architecture and solution design
  • Guide the team in the DevOps development


The ideal candidate should possess:

  • Bachelor’s degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent
  • Minimum 10 years of experience in data warehousing / distributed system such as Hadoop
  • Minimum 5 years of experience in solution architect and design of distributed system such as Hadoop
  • Minimum 5 years of hands on experience in DevOps development for big data platform
  • Experience with relational SQL and NoSQL DB
  • Expert in building and optimizing ‘big data’ data pipelines, architectures and data sets
  • Excellent experience in Scala or Python
  • Experience in ETL and / or data wrangling tools for big data environment
  • Ability to troubleshoot and optimize complex queries on the Spark platform
  • Knowledgeable on structured and unstructured data design / modelling, data access and data storage techniques
  • Experience to do cost estimation and working with external vendors
  • Experience with DevOps tools and environment


We believe in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives and life experiences of our people help us innovate and create strong connections with our customers. We strive to ensure all our people practices are non-discriminatory and provide a fair, performance-based work culture that is diverse, inclusive and collaborative.