Data Engineer - SEATRIUM (SG) PTE. LTD.

Roles & Responsibilities

Responsibilities :

• Design and implement scalable and robust data pipelines to support analytics and data processing needs.
• Develop and maintain database architectures, including data lakes and data warehouses.
• Ensure data quality and consistency through data cleaning, transformation, and validation processes.
• Collaborate with data scientists and analysts to gather requirements and deliver data solutions that support business objectives.
• Optimize data retrieval and develop dashboards and reports for various user needs.
• Implement data security and privacy policies to comply with legal and regulatory requirements.
• Translate business problem into data use case to solved via enabling digital capabilities
• Data related processes including acquisition, classification, filtering, cleaning etc.
• Design and develop use case driven application to be deployed on Ops platform
• Development of applications on IIOT platform, design, setup and deployment.
• Implementing algorithms, Ai, automation etc. that can deliver data-exploration, decision support, recommendation systems, machine learning to achieve business efficiency and outcome
• Analysis of deriving actionable outcomes.

Requirements :

Our Address and Working Hours :

Seatrium Pioneer Yard

50 Gul Road Singapore 629351

(Island wide transport provided)

Mon - Thu : 8am - 5 : 15pm, Fri : 8am to 4 : 30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.

Tell employers what skills you have

Machine Learning

Analytical Skills

Azure

Big Data

Cloud Computing

Pipelines

Hadoop

ETL

Data Quality

Data Engineering

SQL

Python

Google Cloud

Regulatory Requirements

Java

Databases