Data Engineer
On-siteSingapore, Singapore
EXPIREDSingapore, SingaporeOn-siteFull TimeDoctorate Or Professional DegreeEnterprise
Full TimeDoctorate Or Professional DegreeEnterprise
Job Summary
Data Engineer responsible for designing, deploying, and managing scalable cloud infrastructures and end-to-end data analytics pipelines. Responsibilities include architectural and data engineering design, implementing data science frameworks to enable experiments and production solutions, delivering insights to business units, applying DevOps and quality processes, ensuring security, and documenting design, testing, and release activities. Requires collaboration with business managers, product managers, engineers, and data scientists, and willingness to travel globally.
Required Qualifications
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- 5+ years of experience in a Data Engineer role
- Strong experience in cloud technologies (AWS/Azure or similar)
- Experience with big data tools and delivery of big data solutions
- Experience with SQL, NoSQL, data warehouses, lakes, etc
- Experience working in Hadoop ecosystem and Spark is a plus
- Experience with data ingestion and data integration tools and frameworks, data pipeline and workflow management, common data science tools such as R, Python, Tableau
- Proven ability to deliver high profile activities to tight timescales
- Proven ability to apply analytical and creative thought
- Ability to distil and communicate results to all organisational levels
- Practice a lean agile scrum process to continuously deliver value to customers
- Be able to interact with development teams to determine project requirements
- Readiness to travel globally
Desired Qualifications
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- 5+ years of experience in a Data Engineer role
- Strong experience in cloud technologies (AWS/Azure or similar)
- Experience with big data tools and delivery of big data solutions
- Experience with SQL, NoSQL, data warehouses, data lakes
- Experience with Hadoop ecosystem and Spark is a plus
- Experience with data ingestion/integration tools, data pipelines and workflow management
- Experience with R, Python, Tableau or other data science tools
- Ability to deliver high-profile activities to tight timescales
- Strong analytical and creative problem-solving skills
- Ability to learn new tools/technologies
- Ability to distil and communicate results across organizational levels
- Experience working with global teams and collaborating with development teams
- Willingness to travel globally
- Experience practicing lean agile scrum processes
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