Data Engineer

About the role

Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We 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.

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:

- 3-7 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.