Senior Data Architect & Engineer

JOBSTER PRIVATE LTD.

Singapore

On-site

SGD 90,000 - 140,000

Full time

5 days ago
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Job summary

JOBSTER PRIVATE LTD. in Singapore seeks an experienced Data Engineer to design and operate scalable data architectures, build reusable data models, and ensure reliable, secure data pipelines for diverse use cases.

You will work with engineers, product managers and data scientists, applying modern engineering practices, CI/CD, and IaC, with hands-on experience in AWS and modern data platforms. This role offers opportunities to influence data strategy and contribute to public good through

Qualifications

  • Strong software engineering fundamentals.
  • Proficiency in Python and SQL with hands-on production experience.
  • Experience in enterprise data architecture, pipelines, and data models.
  • Familiarity with data warehouses, data lakes, and lake house approaches.
  • Experience with cloud platforms, preferably AWS.
  • Experience with data orchestration, transformation and modeling using modern tools.
  • Strong production engineering practices including testing, monitoring and data quality.

Responsibilities

  • Design, build and operate scalable data architectures and pipelines across diverse source systems.
  • Develop robust data models and reusable data capabilities for applications and analysts.
  • Improve reliability, security, observability, and performance of data systems.
  • Evaluate technologies and make trade-offs; contribute to architecture standards.
  • Champion CI/CD, IaC, automated testing, and code review by the team.
  • Collaborate with engineers, product managers, data scientists and users through design reviews and mentoring.

Skills

Python
SQL
Data architecture
Data pipelines
Cloud platforms
CI/CD
Data modeling
Big data

Tools

Apache Airflow
dbt
Apache Spark
Redshift
Snowflake
Databricks
BigQuery
Tableau
Power BI
Terraform

Job description

JOBSTER PRIVATE LTD. in Singapore seeks an experienced Data Engineer to design and operate scalable data architectures, build reusable data models, and ensure reliable, secure data pipelines for diverse use cases.

You will work with engineers, product managers and data scientists, applying modern engineering practices, CI/CD, and IaC, with hands-on experience in AWS and modern data platforms. This role offers opportunities to influence data strategy and contribute to public good through

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