RAPSYS TECHNOLOGIES PTE. LTD.

Discussion

Senior Data Engineer

Open 16d
  • Bachelor’s degree in computer science, Information Technology, Computer Engineering, or related field
  • Minimum 3 years of relevant experience in data systems architecture, data systems integration, and data pipeline setup at production scale
  • Good understanding of cloud computing principles including infrastructure as code, containerisation, microservices architecture, cloud security frameworks, identity and access management, network architecture, and distributed systems
  • Proven ability to translate business requirements into technical solutions
  • Excellent communication skills for presenting complex concepts to diverse audiences
  • Experience with cloud security frameworks, compliance requirements, and risk management
  • Experience in data domains (e.g. DataOps, Data Lakehouse) and AI/ML Domains (e.g. MLOps, LLMOps)
  • Strong Knowledge and Hands-on experience with SQL, Python and Apache Spark
  • Hands-on experience with Apache Kafka, Airflow, or similar technologies

Good to Have:

  • Proficiency in Amazon Web Services (AWS) services
  • Relevant cloud certifications (e.g. AWS Solutions Architect Professional, AWS Data Engineer Associate) would be an advantage
  • Experience with Data & AI cloud-native services (e.g. Amazon Sage Maker Unified Studio, Amazon Quick Suite, AWS S3, AWS Glue, AWS Lake Formation, AWS Bedrock, AWS Agent Core).
  • Familiarity with serverless computing, edge computing, and IoT architectures would be an advantage.
  • Experience with machine learning operations (MLOps) and ML model deployment pipelines
  • Knowledge of data governance frameworks and metadata management tools Familiarity with data visualization tools and business intelligence platforms
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