Data Engineer (Ref 101)

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 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

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Company Intel

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