Data Engineering Specialist

4 days ago


Singapore ST ENGINEERING TRAINING & SIMULATION SYSTEMS PTE. LTD. Full time
About ST Engineering Training & Simulation Systems

We are a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S. Our diverse portfolio of businesses spans the aerospace, smart city, defence, and public security segments.

Our mission is to solve real-world problems and improve lives through innovation. We pride ourselves on our core values – Integrity, Value Creation, Courage, Commitment, and Compassion.

Data Engineer Role Overview

We are seeking a skilled Data Engineer to join our team. As a Data Engineer, you will design and develop high-quality data products, including data warehouses, data marts, data lakes, and data hubs, either on cloud or on-premises system environments.

Main Responsibilities:
  • Design and develop data pipelines and associated software infrastructure tasks.
  • Liaise with clients, technical architects, data architects, data scientists, and BI analysts to gather requirements.
  • Analyse data requirements and prepare functional and non-functional specifications for data products.
  • Develop data pipelines using ETL or ELT approaches to load or synchronise data in near real-time or batch mode.
  • Analyse and interpret data into business insights.
  • Design and develop dashboards and visualizations using BI tools.
  • Convert business logics into SQL queries and validate them against data.
  • Prepare test plans and conduct unit tests, system integration tests, user acceptance tests, and performance tests.
  • Implement deployment approaches and methods to roll-out system changes.
Requirements:
  • A minimum of 3 years of experience in end-to-end data warehouse, data lake, and big data implementation, preferably in a similar industry.
  • Proficiency in at least one or more technologies: Informatica, SSIS, SQL skills, SQL Server, Azure Data Factory, Data Warehouse, ETL Framework.
  • Familiarity with Power BI, Qlik Sense, MicroStrategy, SAS, and Tableau is preferred.
  • Knowledge of AWS/Azure services, Hadoop ecosystem, data APIs, unstructured data, and data modelling is also preferred.
  • Able to work under pressure and understand solution requirements.
  • Self-starter with analytical approach to problem-solving.
  • Excellent communication skills in both written and spoken English.
Salary Information:

The estimated salary range for this role is $120,000 - $180,000 per annum, depending on experience and qualifications.

This compensation package reflects the value we place on attracting and retaining top talent in the field of data engineering.



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