Position: Cloud Data Engineer
Company: Tonik
Category: Data Engineer
Experience required: 5y
English level: upper

•	Work with Agile and DevOps techniques and implementation approaches in the delivery.
	•	Be required to showcase your GCP Data engineering experience when communicating with business team on their requirements, turning these into technical data solutions.
	•	Be required to build and deliver Data solutions using GCP products and offerings.

Qualifications
	•	Liaise and be part of our extensive GCP community, contributing in the knowledge exchange learning programme of the platform.
	•	Any Bachelor Degree in Computer Science or related fields
	•	Minimum 5 years of experience as a data engineer in banking environment.
	•	Possess analytical skills, mental resilience and the ability to think systematically under stressful conditions.
	•	Highly accountable and takes ownership. Outstanding work ethic, high-integrity, team player, and a lifelong learner.
	•	Mentor other engineers define our technical culture and help build a fast-growing team.
Skill
	•	Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.).
	•	Experience in Spark /Scala / Python/Java / Kafka.
	•	Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.
	•	E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.
	•	Regulatory and Compliance work in Data Management.
	•	E2E Solution Design skills - Prototyping, Usability testing and data visualization literacy.
	•	Experience with SQL and NoSQL modern data stores.
	•	Work on diversified cloud Platforms consisting of Databases and CICD, Logging, and monitoring tools to provide stable, and reliable DevOps service.
	•	Hands-on experience with terraform is a plus.
	•	Build CI/CD pipeline; both design and implementation is an added advantage.
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Visa and relocation options to Singapore**