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Senior Data Engineer (Data Engineering)

GovTech

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Job Summary


Job Type
Permanent

Seniority
Senior (≥ 6 yrs)

Years of Experience
At least 4 years

Tech Stacks
Docker
T SQL
Git
Azure
Spark
NoSQL
Flink
Terraform
SQL
AWS

Job Description


As a Senior Data Engineer in the Data Engineering team of GovTech’s Data Science and Artificial Intelligence Division, you will be building Whole-of-Government data infrastructure to power the insights needed for evidence-based decision-making and enhancing agencies’ service-delivery. You will be architecting, designing and building next-generation data infrastructure to galvanise digitalisation in the public sector. You will be given opportunities to lead other engineers to drive impact at scale.

We are looking for enthusiastic and passionate engineers to join us in this journey to make a difference.

What To Expect

  • Design and build resilient and efficient data pipelines for both batch and real-time streaming data
  • Architect and design data infrastructure on cloud using industry standard Infrastructure-as-Code tools
  • Execute projects with an Agile mindset
  • Build software frameworks to solve data problems at scale
  • Collaborate with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools
  • Be put in the driving seat as an engineering leader
How To Succeed

  • Bachelor’s Degree in Computer Science or have equivalent professional experience
  • Have more than 4 years of experience in a technical role
  • Experience with data processing tools such as Spark, Beam, Flink
  • Experience with the cloud (e.g. AWS, GCP, Azure)
  • Experience implementing batch and streaming data pipelines
  • Experience writing efficient SQL
  • In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting
  • Familiar with DevOps tools such as Git, Docker, Terraform
  • Experience in the public sector is a bonus
  • Previous technical leadership experience is a bonus

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