Data engineer role in Singapore (via ManpowerGroup Singapore) architecting, building, and maintaining large-scale data pipelines and self-service data products for senior management decision-making. Core stack: SQL, Python/Java/Scala, Airflow, Spark, Trino, Kafka, Docker, AWS/GCP/Azure, Terraform, and Kubernetes.
You will architect, develop, and test large scale and efficient solutions that provide senior management with the accurate data to make business decisions.
Description
Design and implement scalable and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability
Create data products, enabling self-service and predictability by consumer
Build libraries and frameworks that drive leverage and productivity for the team
Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence
Requirements:
BS or MS in Engineering/Computer Science
6+ years software engineering, including strong SQL and data focus
Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino, Kafka, Docker, Iceberg
Ability to analyze complex datasets and design solutions with quality and efficiency
Familiarity with SDLC best practices, version control, CI/CD
Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage
Knowledge of infrastructure as code (e.g., Terraform) and container orchestration tools (e.g., Kubernetes)
Claudia Kueh Kee Jinq EA License No.: 02C3423 Personnel Registration No.:R1880247
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