Data Engineer [Data team]

We are a product oriented company from Philippines. Our main product is an electronic payment service and e-wallet for users from South Asian countries(for example, Philippines, Thailand, Malaysia).

Our product helps people to open access to financial tools in a complicated bank system situation.

Through our wallet users can send money anyone, pay for subscriptions, receive money transfers from 200+ countries and lands even without bank account.

Who you Are

• We are looking for a savvy Data Engineer to join our growing data team.
• At your position you will be responsible for building and shipping data-driven applications that drive the existing and new business initiatives.
• We actively seek individuals who are high in industriousness and high in orderliness, with an intrinsic interest in data platforms and distributed systems.
• The ideal candidate has strong programming skills in creating software solutions around data.

Responsibilities

• Build and maintain the organization’s data pipeline systems
• Plan, build, deploy, and maintain scalable kappa-architectured machine learning infrastructure
• Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc)
• Work on the data platform for BI team that prepares reports for different company departments
• Work closely with data science team on delivering and operationalizing ML-based applications in production
• Build the ETL framework
• Build ML driven and data-science friendly tools ecosystems

Required skills

• Advanced programming skills using Java / Scala
• Knowledge of Linux and command line tools
• Understanding of distributed systems in general
• SQL
• Experience in data processing frameworks (Hadoop/Spark/Flink)
• Knowledge of different storage engines (ideally relational, non-relational, distributed file systems)
• Self-management and communications skills

Skills good to have

• General programming skills in Python
• Python data-science tools and libraries (Jupyter, scikit-learn, numpy, scipy, pandas etc.)
• Data analytics
• Multi-threading programming
• Experience building Data Lake / BI platform / DWH
• CI/CD infrastructure
• Managed services on the cloud (AWS, GCP, etc)
• Open-source workflow managers (Apache Oozie, Apache Airflow, Luigi, Azkaban, etc.)
• Docker, Kubernetes

Our work environment

• Remote friendly
• Flexible schedule
• International geo distributed team
• Opportunity for business trips to SEA countries
• Open-mindedness for new technologies
• AWS
• DevOps culture
• Focus on continuous learning and development
• Flexible Vacation