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 (HIDDEN TEXT) 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

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