Data Engineer (Ref 101)
Summary
Build and maintain ETL pipelines, integrate data from multiple sources, and clean/normalize datasets using Databricks or Snowflake.
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
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