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Senior Executive, Data & Digital

SpringCube

Full time - Senior Manager

IT Data Centre & Infrastructure

Singapore ( Onsite )

Published 3 weeks ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your

job search. Explore the position below to find your next career move.

Company Overview:

This global asset manager and operator provides solutions for a sustainable future, focusing on Infrastructure, Real Estate, and Connectivity. They connect investors with alternative real assets, with a strong emphasis on decarbonization and sustainable urban renewal.

Job Title: Senior Executive, Data & Digital

JOB DESCRIPTION

  • Develops, maintains scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity.
  • Develop and maintain scalable, optimized data pipelines leveraging Python and AWS services to support increasing data volume and complexity, while ensuring seamless integration with AI platforms like Bedrock and Google. Further enhance data accessibility and drive data-driven decision making by collaborating with analytics and business teams to refine data models for business intelligence tools.
  • Develop, maintain, and optimize scalable data pipelines using Python and AWS services (e.g., S3, Lambda, ECS, EKS, RDS, SNS/SQS, Vector DB).
  • Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
  • Collaborate with analytics and business teams to create and improve data models for business intelligence.
  • End-to-end ownership of data quality in our core datasets and data pipelines.
  • Participate in code reviews and contribute to DevOps / DataOps / MLOps.

JOB REQUIREMENTS

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 2-3 years of experience in data engineering or a similar role.
  • Strong programming skills in Python, SQL, AWS and related tech stack.
  • Experience with building scalable data pipelines with technologies such as Glue, Airflow, Kafka, Spark etc..
  • Experience using Snowflake, DBT, Bedrock is a plus.
  • Good understanding of basic machine learning concepts (Sagemaker).

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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