Data Engineer

Assurity Trusted Solutions; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Assurity Trusted Solutions is seeking a Data Engineer to enhance Singapore's maritime data ecosystem. This pivotal role involves developing data pipelines, engaging with stakeholders, and creating data products to support the maritime sector's growth and challenges. Candidates should have strong ETL skills and experience in data architecture.

Benefits

Learning culture

Career growth opportunities

Qualifications

• 3+ years of related work experience as a Data Engineer.
• Proficient in ETL using Python, SSIS, or Informatica.
• Experience in cloud environment setup.

Responsibilities

• Design, develop, and maintain data pipelines on the Enterprise Data Warehouse.
• Support stakeholder engagement and data collection systems.
• Develop interactive dashboards for business decision-making.

Skills

ETL

Python

Data Modelling

Data Mining

Problem Solving

Collaboration

Tools

MS SQL

PostgreSQL

Oracle

Hadoop

Spark

SSIS

Informatica Power Centre

Job description

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade, ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, authentication services, governance and assurance services as well as managed processes. In a dynamic digital and cyber landscape, where trust & collaboration are key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

We are seeking a Data Engineer to join our dynamic team to develop and strengthen our data ecosystem for the maritime sector. This role is pivotal in bridging the gap between business/regulatory needs and our maritime data ecosystem, so that we enhance Singapore’s position as a leading global maritime hub. The ideal candidate will leverage stakeholder insights and agile methodologies to develop data ecosystem products that will be relevant for a range of stakeholders in our maritime ecosystem, which would include our port operators, international shipping lines, technology companies, among others.

The maritime sector in Singapore faces significant challenges, as well as opportunities. It is critical for MPA to position Singapore to capture benefits from growing maritime trade, while addressing various challenges including our manpower constraints and global pressures for maritime decarbonisation. This position offers a unique opportunity to enhance Singapore’s global positioning as a leading maritime hub by advancing new value proposition that can be unlocked via data for our maritime ecosystem.

Responsibilities:

• Design, Develop, Test, Deploy and Maintain data pipelines (ETL) on the Enterprise Data Warehouse and Big Data Platform
• Design and Develop the API /Web Services framework for curation of new datasets whether internal or external (Internet), and to interface with other systems (both internal and external)
• Explore and source new data sets to address emerging business use case needs
• Support stakeholder engagement, development, implementation and maintenance of systems for data collection, storage, access, and analytics at scale.
• Develop and manage continuous improvement of data architecture and ensure alignment with business requirements, data management and governance policies.
• Design, develop, and maintain interactive dashboards that provide insights and data to support business decision-making.
• Support the design and definition of the data architecture framework, standards, and principles, including modelling, metadata, privacy, security, reference data and master data

• 3+ years of related work experience as a Data Engineer
• Good grasp of Software Engineering principles such as Requirements Gathering (both functional and non-functional), Modular & Re-usable Design.
• Proficient in ETL using programming language /tools such as Python and/or SSIS and/or Informatica Power Centre
• Able to develop data applications including integration with ICT systems, build APIs and web applications via .Java and/or Python
• Familiarity with MS SQL, PostgreSQL or Oracle is preferred.
• Proficient in Data Modelling and Data Mining.
• Experience in designing and building scalable database schema for applications.
• Understanding of Object-Oriented Design.
• Knowledge of or prior work experience on Big Data platforms such as Hadoop or using Spark.
• Experience in the cloud environment setup
• Excellent organizational, analytical, and problem-solving skills.
• Experience collaborating with business and product teams.

Join us and discover a meaningful and exciting career with Assurity Trusted Solutions!

The remuneration package will commensurate with your qualifications and experience. Interested applicants, please click "Apply Now".

We thank you for your interest and please note that only shortlisted candidates will be notified.

By submitting your application, you agree that your personal data may be collected, used and disclosed by Assurity Trusted Solutions Pte. Ltd. (ATS), GovTech and their service providers and agents in accordance with ATS’s privacy statement which can be found at: https://www.assurity.sg/privacy.html or such other successor site.

• A wholly-owned subsidiary of GovTech.
• We promote a learning culture and encourage you to grow and learn.