Job Summary

S$12,143 - S$20,571 / Monthly EST

Job Type


Years of Experience
At least 15 years

Tech Stacks
ETL Presto Azure Hive Spark NoSQL kafka SQL C Scala Cassandra Python AWS Java

Job Description

Key Responsibilities

As part of the Data Engineering practice, some of the key responsibilities include:

Developing, testing and implementing business systems of the highest complexity

Ensures cross team integration and proper hand-offs of code/tasks to meet schedules

Designs reusable software components and incorporates reusable assets into the application design

Research and evaluate Data Engineering tools and frameworks

Participate on POCs and assist in client presentations

Assist engineering leadership in hiring and interviewing top talent

Mentor junior staff conduct design/code/test reviews

Assist in developing centre of excellence, best practices, documentation, re-usable assets

Proficient in distributed architecture, understanding of required infrastructure setup

Mentor junior team members


Minimum 15+ years of experience with significant experience in the Data Engineering space

Experience in designing and building robust and highly scalable data platform and data pipelines

Experience with leading a team of experienced Data Engineers

Prior experience working in the consulting space will be highly advantageous

Strong programming proficiency using 1 or 2 of the following languages: Scala, Python, Java

Extensive experience with data modelling and designing/supporting both streaming and batch ETL pipelines

Clear understanding of distributed computing, especially in databases

Hands-on in SQL and NOSQL with a deep understanding of query optimization

Experience with open-source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.)

Experience working on any of the Cloud platforms (GCP, AWS, Azure)

Good to have: Certification for Data Engineers or Solution Architect in 1 or more Cloud Technologies (AWS, GCP, Azure)

Strong communications skills and presentation skills to C levels

Ability to manage numerous requests concurrently and be able to prioritize and deliver