Data Engineer

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
• Partner with analytics and product leaders to design and operationalize pipelines
• Collaborate with infrastructure leaders to advance cloud-based data platforms
• Explore new tools and techniques leveraging Azure, Databricks, or related platforms

Requirement:

• Degree in computer science, Data Analytics, Statistics, or relevant field.
• At least two (2) years of experience in building and optimising data pipelines, architectures, and data sets and
• At least two (2) years of experience in supporting data transformation, data structures, metadata, dependency, and workload management.
• 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 [Confidential Information]

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