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Data Engineer

apartmentTotal eBiz Solutions Pte Ltd placeSingapore calendar_month 

Job Description

As a Data Engineer, you will be responsible for designing, implementing, and maintaining robust data architecture solutions. The ideal candidate will have a strong background in data technologies with expertise in building and optimizing data infrastructure.

What you will be working on:

As a data engineer, you will:

  • Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
  • Translate data requirements from business users into technical specifications.
  • Work with Agency's project teams to develop user stories, functional/technical specifications and acceptance criteria
  • Design and build secure mechanisms for end users and systems to access data in data warehouse.
  • Research, propose and develop new technologies and processes to improve agency data infrastructure.
  • Implement data quality checks and validation processes to ensure data accuracy and consistency
  • Review data pipelines to ensure adherence to data management standards, policies and procedures.
  • Analyse impact of requested changes and propose improvements to continuously address changing business needs, and work with support team to understand and address technical problems (Operations & Maintenance phase)
What we are looking for
  • Diploma/Degree in Computer Science, Infocomm Technology, Computer or Electronics Engineering or related subject area with minimum 3 years of relevant experience.
  • Data manipulation using scripting languages like Python or using ETL tools Visual analytics technologies like Tableau, Power BI End-to-end analytics architecture, preferably with some working knowledge of big data stack
  • Experience with SQL/NoSQL databases
  • Experience in AWS Cloud especially Glue and RedShift
  • Experience working with CI/CD setups
  • Strong knowledge of algorithms and database structures
  • Strong knowledge of database integration and migration strategy
  • Strong knowledge in designing and implementing scalable data infrastructure
  • Good communication skills with the ability to pitch ideas and influence
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