Junior Data Engineer

4 days ago


Singapore NEWPORT TANK CONTAINERS SINGAPORE PTE. LTD. Full time
Roles & Responsibilities

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Junior Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group's CIO. Our team currently comprises over 60 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team As a Junior Data Engineer in our Singapore office, you will have the unique opportunity to join a newly established data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will be a part of a rapidly expanding team in Singapore.

Job Responsibilities:

· Take ownership of the implementation and maintenance of critical pieces of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS)

· Assist in the maintenance of an existing on-prem data infrastructure (SSIS/SQL Server) while we complete our migration to the cloud

· Help ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.

· Assist in data quality and governance initiatives. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.

· Participate in a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.

· Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.

Requirements:

· Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.

· 1+ years of experience in data engineering

· 1+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).

· Knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.

· Familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)

· Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.

· Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills

· Experience with master data management using modern MDM tools

· Background in the shipping/maritime or chemicals industry.

· Experience with PowerBI and Plotly.

Tell employers what skills you have

Microsoft Azure
Azure
Big Data
Pipelines
Azure DevOps
Hadoop
Azure Data Factory
ETL
Data Quality
Reliability
Data Engineering
DBT
PowerBI
SQL
SQL Server
Python
Master Data Management
Data Warehousing
Databases
ADF
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