A global financial services firm is seeking a DataOps professional in Singapore. The role involves operational ownership of data services, optimizing data pipelines, and collaborating with teams across time zones. Key skills include Python, SQL, and CI/CD practices. The ideal candidate has a solid background in data engineering and is rigorous in documentation. Candidates should be fluent in English and possess excellent problem-solving skills. The position supports a dynamic work environment focused on continuous improvement and operational excellence.
Qualifications
Hands-on experience with SQL, Python, and data engineering.
Knowledge of CI/CD platforms like Azure DevOps is required.
Fluency in spoken and written English.
Responsibilities
Take operational ownership of specific data services.
Design and optimize data pipelines in batch and streaming mode.
Collaborate with cross-functional teams to improve operations.
Skills
SQL
Python
CI/CD
Data engineering
PySpark
Databricks
Microservices architecture
API management
Observability
Cloud data platforms
Database design
Tools
Azure DevOps
GitLab CI
GitHub Actions
Cloud platforms
Job description
A global financial services firm is seeking a DataOps professional in Singapore. The role involves operational ownership of data services, optimizing data pipelines, and collaborating with teams across time zones. Key skills include Python, SQL, and CI/CD practices. The ideal candidate has a solid background in data engineering and is rigorous in documentation. Candidates should be fluent in English and possess excellent problem-solving skills. The position supports a dynamic work environment focused on continuous improvement and operational excellence.