Our Background:
Founded by Temasek & UST, Temus is a start-up aspiring to be Singapore's Digital Transformation champion, with a mission to empower Singapore’s Smart Nation across public and private sectors and enhance the lives of citizens.
Our services span from strategic advisory through to digital, data and AI delivery. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology.
We are growing quickly, and we are looking to recruit strong and highly motivated people to join us on this audacious mission.
Our Purpose
- Place client value and human experience at the centre of everything we do
- Use AI and data to deliver material impact and drive disruptive transformation across public and private sectors
- Maintain public trust in AI and data protection ensuring fairness, ethics, accountability, and transparency
Your Role
- Lead design & delivery of Data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors
- Build a world-class team with experts in Data engineering
- Produce thought leadership for data engineering and scaling deployments
- Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats
- Mentor junior members to help them build career in Data Engineering
- Invest continuously in building and extending your knowledge and skills
Your Profile
- Minimum 7 years of designing, building and operationalizing large scale enterprise data solutions and applications (both with batch and streaming data)
- Experience using one or more of AWS / Azure / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, Databricks, Snowflake, HDInsights, SQL DW, DocumentDB, Glue, Athena, Elastic Pool etc.
- Experience with Stream platforms and real-time aggregation platforms like Kafka, Kinesis, Spark, Flink, KSQL etc.
- Experience with multiple data storage solutions for analytics, operational and archival purposes like MongoDB, Cassandra, HBase, Redis, PostgreSQL, MySQL, DB2, Neo4j, S3 etc.
- Experience with data transformation tools/platforms like: dbt, Alteryx, Datameer, dataform, Informatica, Talend etc. and their data quality management features
- Mastered at least one core language: Python, Scala, Java
- Good exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing
- Experience building historical and real-time operational ‘feature layers’ to support AI/ML teams
- Excellent understanding of the state of Data Engineering evolution in the industry through active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.)
- Track record of delivering scalable Data pipeline services running in production.
- Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
- Strong ability to explain design decisions and provide alternatives supported by analysis like pro/con, past experiences etc.
- Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
- Demonstrated capability to lead, inspire, coach and mentor team members and colleagues.
Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, citizenship, 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/
