Senior / Data Engineer at Temus

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, AWS, Python, .Net (C#), Tableau Server, Snowflake, Kafka, SQL, Serverless Computing, CI/CD, Containerization, Infrastructure As Code, Code Version Control, Automated Testing, Data Pipelines, Data Engineering

Industry

Business Consulting and Services

Description

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: Minimum 4 years of designing, building and operationalizing data solutions and applications (with batch or streaming data) Hands-on experience with Databricks including setup, configuration, administration on cloud infrastructure followed by on-boarding data sources, building data pipelines and data assets for downstream consumption At least 3 years of 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 Experience in working with Snowflake 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/

Responsibilities

Develop and deliver value to clients by building large scale enterprise data pipelines to capture, transform, and store data supporting reporting, automated systems, and AI/ML initiatives. Support thought leadership development for data engineering and scaling deployments across public and private sector clients.