Lead Data Architect

5 days ago


Singapore ST ENGINEERING TRAINING & SIMULATION SYSTEMS PTE. LTD. Full time
About the Role

We are seeking a highly skilled and experienced data engineer to join our team at ST Engineering Training & Simulation Systems PTE. LTD.

As a data engineer, you will play a crucial role in designing and developing high-quality data products - data warehouse, data marts, data lake, and data hubs; either on cloud or on-premises system environments.

Our ideal candidate will have a minimum of 3 years of end-to-end data warehouse, data lake, and big data implementation experience with similar industry experience.

The estimated salary for this role is SGD $120,000 per annum, depending on your experience and qualifications.

Responsibilities
  • Design and develop high-quality data products, including data warehouses, data marts, data lakes, and data hubs.
  • 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 synchronize data in near real-time or batch mode.
  • Analyse and interpret data into business insights.
  • Design and develop dashboards and visualizations using BI tools.
  • Ability to understand and convert business logics into SQL queries and validate 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
  • At least 3 years of end-to-end data warehouse, data lake, and big data implementation experience with similar industry experience.
  • Proficient with at least one or more of the following technologies: Informatica, SSIS, SQL Skills, SQL Server, Azure Data Factory, Data Warehouse, ETL Framework.
  • Preferably possess good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS, and Tableau.
  • Preferably possess good knowledge about: AWS/Azure services, Hadoop Ecosystem, Data APIs, Unstructured Data, and Data Modelling.
  • Able to work under pressure when there is an escalated demand in the project cycle.
  • Understand solution requirements and progress to develop, build, and operationalize solutions.
  • Enjoy problem-solving in different domains and industries.
  • Love working with a highly energetic and competent team.
  • A self-starter with an analytical approach to problem-solving.
  • A client-centric, outcome-driven, and quality-focused team player.
  • Excellent communication skills, both in written and spoken English.
Benefits
  • An environment where you will be working on cutting-edge technologies and architectures.
  • A safe space where diverse perspectives are valued, and everyone's unique contributions are celebrated.
  • Meaningful work and projects that make a difference in people's lives.
  • A fun, passionate, and collaborative workplace.
  • Competitive remuneration and comprehensive benefits.


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