Data Engineering
Singapore, Singapore
Job Description
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About the job About us: Our client is an aspiring nation\'s Digital Transformation organization, with a mission to empower Smart Nation across public and private sectors and enhance the lives of citizens. Our services span from strategic advisory through to digital, data and AI delivery. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology. We would be working on a wide range of use cases across different sectors, and our focus would be on generating ROI for our client\'s data assets.
Key Roles & Responsibilities: Purpose
- Place client value and human experience at the center of everything we do
- Develop and deliver value to clients by building large scale enterprise data pipelines to capture, transform and store date to support reporting, automated systems and AI/ML
- Be a part of a world-class team of experts in Data engineering
- Be a part of a culture of excellence and with confidence, charisma, context, and humility, working effectively at all levels
- Delivery of data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors
- Support thought leadership development as a team for data engineering and scaling deployments
- Work with the organization\xe2\x80\x99s ecosystem of partners to deliver client value
- Adopt a cloud-first strategy to enhance agility and elasticity by partnering with vendors to support specific public sector needs
- Bachelor\xe2\x80\x99s Degree/Masters Degree in computer science or any other engineering discipline
- Minimum 3 years of designing, building and operationalizing data solutions and applications (with batch or streaming data)
- Excellent understanding on SQL data storage structures and storage/query optimizations
- Mastered SQL querying to build any data presentations using joins, reference tables, groupings, statistics etc.
- Proficient in at least one core language: Python, Scala, Java
- Exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing
- Exposure to one of more of cloud services like AWS, Azure or GCP
- Awareness of a broad range of tools to assist in the data engineering: Databricks, Snowflake, dbt, Alteryx, Datameer, dataform, Informatica, Talend, Docker, Kubernetes, Kafka, Kinesis, Spark, Flink, MongoDB, Cassandra, HBase, Redis, PostgreSQL, MySQL, DB2, Neo4j, S3, KSQL, Terraform, Ansible & Datadog
- Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
- Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
- Show active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.)
- Ability to work independently with minimal guidance
- Ability to work as part of a large team
- Ability to work within an unstructured environment with ability to multitask well
Terence Ng Yew Beng
Reg. No: R1324803
EA License No.: 12C6285
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Job Detail
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Job IdJD1294054
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationSingapore, Singapore
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EducationNot mentioned