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Data Engineering

16 hours ago

Fort Bonifacio, National Capital Region, Philippines Mabuhay Technology Full time

About Us

MabuhayTech Corporation is a dynamic and rapidly expanding software development company dedicated to creating meaningful digital solutions. We foster a culture of innovation, teamwork, and strong engineering practices. We are currently seeking a skilled Data Engineering to join our growing team and contribute to the evolution of our platform.

Responsibilities

  • Design, build, and maintain scalable data pipelines for high-volume, real-time trading data
  • Develop ETL/ELT processes to ingest data from blockchain networks, exchanges, APIs, and internal systems
  • Optimize data storage and retrieval for analytics, monitoring, and reporting
  • Ensure data quality, integrity, and availability across the platform
  • Collaborate with engineering and product teams to support trading, risk, and compliance features
  • Implement monitoring, alerting, and performance tuning for data systems
  • Support analytics and data science use cases, including market insights and user behavior analysis
  • Maintain security and privacy best practices for sensitive financial data

Required Qualifications

  • 3+ years of experience as a Data Engineer or in a similar role
  • Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)
  • Experience with data pipeline and workflow tools (e.g., Airflow, dbt, Kafka, Spark)
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure)
  • Experience designing data warehouses and/or data lakes
  • Solid understanding of data modeling and schema design
  • Familiarity with real-time or streaming data systems

Preferred Qualifications

  • Experience working in FinTech, trading platforms, or cryptocurrency/blockchain environments
  • Knowledge of blockchain data structures and on-chain analytics
  • Experience with time-series data and high-frequency data systems
  • Understanding of security, compliance, and regulatory considerations in financial systems
  • Exposure to machine learning or advanced analytics workflows

How to Apply

Please send your resume, portfolio (if applicable), and a brief explanation of why you're a good fit to Us

MabuhayTech Corporation is a dynamic and rapidly expanding software development company dedicated to creating meaningful digital solutions. We foster a culture of innovation, teamwork, and strong engineering practices. We are currently seeking a skilled Data Engineering to join our growing team and contribute to the evolution of our platform.

Responsibilities

  • Design, build, and maintain scalable data pipelines for high-volume, real-time trading data
  • Develop ETL/ELT processes to ingest data from blockchain networks, exchanges, APIs, and internal systems
  • Optimize data storage and retrieval for analytics, monitoring, and reporting
  • Ensure data quality, integrity, and availability across the platform
  • Collaborate with engineering and product teams to support trading, risk, and compliance features
  • Implement monitoring, alerting, and performance tuning for data systems
  • Support analytics and data science use cases, including market insights and user behavior analysis
  • Maintain security and privacy best practices for sensitive financial data

Required Qualifications

  • 3+ years of experience as a Data Engineer or in a similar role
  • Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)
  • Experience with data pipeline and workflow tools (e.g., Airflow, dbt, Kafka, Spark)
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure)
  • Experience designing data warehouses and/or data lakes
  • Solid understanding of data modeling and schema design
  • Familiarity with real-time or streaming data systems

Preferred Qualifications

  • Experience working in FinTech, trading platforms, or cryptocurrency/blockchain environments
  • Knowledge of blockchain data structures and on-chain analytics
  • Experience with time-series data and high-frequency data systems
  • Understanding of security, compliance, and regulatory considerations in financial systems
  • Exposure to machine learning or advanced analytics workflows

How to Apply

Please send your resume, portfolio (if applicable), and a brief explanation of why you're a good fit to

Job Type: Full-time

Pay: Php30, Php70,000.00 per month

Benefits:

  • Additional leave
  • Company Christmas gift
  • Company events
  • Health insurance
  • Opportunities for promotion
  • Paid training
  • Pay raise
  • Promotion to permanent employee
  • Staff meals provided

Work Location: In person