Unison Consulting
Data Engineer (Big Query, Composer, Dataproc, ETL, GCP Tools)
Be an Early Applicant
Similar Jobs
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Lead Datadog's APJ developer advocacy from Singapore: own regional event content, represent Datadog at conferences, manage and mentor regional Developer Advocates, coach engineers on public speaking, create technical content (demos, blogs, webinars, open source), and provide product feedback.
Top Skills:
AIDatadogDevOpsObservabilityOpen SourceSecurity
Artificial Intelligence • Cloud • Information Technology • Legal Tech • Productivity • Software
Lead Customer Success strategy and execution across Asia to drive retention, expansion, adoption, and license consumption. Own renewals, NRR, escalation management, cross-functional alignment with sales, product, services and partners, and regional reporting. Run adoption programs, account plans, risk mitigation, and executive engagement to deliver measurable customer value.
Top Skills:
Data Analytics ToolsGainsightSalesforce
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The role focuses on developing product disposition solutions, enhancing yield and reliability through data analysis, and mentoring team members while collaborating across teams.
Top Skills:
AIDeep LearningJmpMachine LearningPower BITableau
We are seeking a skilled and motivated Data Engineer with expertise in Google Cloud Platform tools such as BigQuery, Composer, Dataproc, and ETL processes. The ideal candidate will have a strong background in designing, implementing, and optimizing data pipelines and workflows. You will play a key role in ensuring our data infrastructure is scalable, efficient, and reliable to support our data-driven decision-making processes.
Key Responsibilities:
- Design and Development:
- Develop, construct, test, and maintain scalable data pipelines using Big Query, Composer, Dataproc, and other GCP tools.
- Design and implement ETL processes to extract, transform, and load data from various sources into the data warehouse.
- Ensure the architecture supports business requirements and allows for easy reporting and analysis.
- Data Management:
- Monitor and manage data workflows and pipelines to ensure data quality, integrity, and reliability.
- Perform data profiling and analysis to identify and address data quality issues.
- Optimization and Performance:
- Optimize ETL processes and data pipeline performance to handle large-scale data efficiently.
- Implement best practices for data governance, security, and compliance.
- Collaboration
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Troubleshooting and Support:
- Identify, diagnose, and resolve data-related issues and discrepancies.
- Provide support and troubleshooting for data pipelines and ETL processes.
Minimum of 5 years of experience as a Data Engineer or in a similar role.
Proven experience with Google Cloud Platform, specifically Big Query, Composer, Dataproc, and GCP Tools.
Strong experience with ETL processes and tools.
Unison Consulting Singapore, Singapore, SGP Office
Singapore, Singapore
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
