Data Engineer (Ref 101)
Summary
Build and maintain ETL pipelines, integrate data from multiple sources, and optimize data processing using Azure and Databricks for a Singapore-based IT consultancy.
Responsibilities:
- Develop and maintain ETL pipelines for centralized data storage systems
- Integrate data from databases, APIs, log files, streaming platforms, and external providers
- Develop data transformation routines to clean, normalize, and aggregate data
- Apply data processing techniques to handle complex or inconsistent datasets
- Contribute to frameworks and best practices for code development and deployment
- Implement data governance in alignment with company standards
Requirement:
- Degree in computer science, Data Analytics, Statistics, or relevant field.
- At least 2 years of experience in building and optimising data pipelines, architectures, and data sets; and
- At least 2 years of experience in supporting data transformation, data structures, metadata, dependency, and workload management.
- Experience in Databricks or Snowflake is preferable
- Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional is an advantage
Interested applicants, Please send your updated resume in Word format to hres@itcspl.com
Please indicate Job Code "Data Engineer - 101" on email subject
We regret that only shortlisted candidates will be notified.
Bacalso John Bryan Bedayo (Reg No. R1106648)
IT Consultancy & Services Pte Ltd
EA No: 92C5311
Please visit www.itcspl.com to learn more information about ITC