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Open nowPosted 16 days ago

Senior Data Engineer (JD#11329)

MyCareersFuture94,028 open roles

Pay
SGD 11,000 – SGD 12,000 a Monthly
Where
East, Singapore
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Your applicationOpen nowSenior Data Engineer (JD#11329)MyCareersFuture · East, Singapore

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  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 16 days ago

The posting

Job Summary

We are seeking a senior data engineer to design, build, and maintain production-grade data pipelines and lakehouse solutions in an on-premises environment, while driving data platform initiatives, performance, security, and technical best practices.

Mandatory Skill Set

  • 8+ years of IT experience with 5+ years in data engineering/data pipelines;
  • Expert SQL/SQL Server – query optimization, indexing & performance tuning;
  • Advanced Python & PySpark;
  • Apache Spark and distributed data processing;
  • Kubernetes & Docker for on-premises deployments;
  • Data modelling – relational & NoSQL; hands-on MongoDB/Cassandra;
  • Lakehouse/Data Lake architecture, including Iceberg, partitioning & metadata;
  • ETL/ELT orchestration – Apache Airflow or similar;
  • CI/CD, Git, automated testing & IaC;
  • Data security, governance, RBAC, masking & compliance.

Desired Skill Set

  • Experience in data virtualization, logical data warehouses, Data Mesh/Fabric architectures, metadata management, and data lineage;
  • Familiarity with real-time streaming technologies such as Kafka/Flink, along with experience in technical leadership, mentoring, and Agile data architecture.

Responsibilities

  • Design and develop production-grade ETL/ELT pipelines using Python/PySpark;
  • Build and manage multi-layer lakehouse architecture across raw, curated, and consumption layers;
  • Deploy scalable data pipelines using Kubernetes/Docker in on-premise environments;
  • Develop data models and optimize complex SQL Server queries and performance;
  • Establish CI/CD, automated testing, monitoring, and version-control practices;
  • Implement data security, governance, and access controls;
  • Mentor engineers, conduct code reviews, and drive engineering best practices;
  • Collaborate with data scientists, BAs, and stakeholders to deliver business-ready datasets;
  • Provide L3 support and lead resolution of complex data engineering challenges.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection, and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (Privacy Policy | SCIENTE).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

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