Singapore
3 months agoJob Overview
Pay
Not disclosedJob description
- Location:
- Singapore
- Work arrangement:
- On-site
Role Summary
Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. W e aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.
Responsibilities
Key Roles & Responsibilities
Purpose
- Place client value and human experience at the center of everything we do.
- Develop and deliver value to clients by building large scale enterprise data pipelines to capture, transform and store date to support reporting, automated systems and AI/ML Team.
- Be a part of a world-class team of experts in Data engineering.
- Be a part of a culture of excellence and with confidence, charisma, context, and humility, working effectively at all levels.
Delivery
- Delivery of data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors.
- Support thought leadership development as a team for data engineering and scaling deployments.
Partnership
- Work with Temus’ ecosystem of partners to deliver client value.
- Adopt a cloud-first strategy to enhance agility and elasticity by partnering with vendors to support specific public sector needs.
Requirements
- 3-5 years of designing, building and operationalizing data solutions and applications (with batch or streaming data).
- Hands-on experience with Databricks/Snowflake including setup, configuration, administration on cloud infrastructure followed by on-boarding data sources, building data pipelines and data assets for downstream consumption.
- Experience with AWS cloud data platforms (S3, RDS, Glue, Redshift).
- Proficient in at least one core language: Python, .Net (C#).
- Experience with setup and administration of Tableau server is an added advantage.
- Knowledge of Kafka for data streaming (producer, topics and consumers).
- Excellent understanding on SQL data storage structures and storage/query optimizations.
- Mastered SQL querying to build any data presentations using joins, reference tables, groupings, statistics etc.
- Exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing.
- Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
- Strong ability to develop and maintain relationships amongst clients, colleagues, and partners.
- Show active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.).
- Ability to work independently with minimal guidance.
- Ability to work as part of a large team.
- Ability to work within an unstructured environment with ability to multitask well.
- Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.
- We see the diversity of our team as a strategic advantage, and we work actively to maintain it.
- By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/
- Role:
- Data Engineer