Data Engineer (PH)
Coins.phVisit Coins.ph website
Digital wallet and cryptocurrency exchange platform enabling Filipinos to buy, sell and manage crypto assets with integrated payment services.
Distributed
Funding history
About Coins.ph
Coins.ph serves as a regulated crypto platform for over 18 million Filipino users, offering cryptocurrency trading, bill payments, and remittance services. The platform integrates QR payments and mobile load purchases with crypto services, making digital assets accessible to Filipinos.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Design, develop, and maintain scalable data processing systems, ETL pipelines, real-time processing systems, data quality controls, and secure AWS-based infrastructure for a Databricks data warehouse.
Requirements
- Bachelor's or Master's degree in Computer Science or a related field
- Minimum of 5 years of hands-on experience as a Data Engineer
- Good understanding of Databricks platform and Delta Lake
- Familiarity with data job scheduler tools such as Dagster
- Proficiency in one or more programming languages such as Scala, Java, or Python
- Deep expertise in big data technologies including Apache Spark for ETL processing and optimization
- Proficiency with BI tools such as Metabase for data visualization and analysis
- Advanced understanding of data modeling, data quality, and data governance best practices
- Outstanding communication and collaboration skills
- Extensive experience in AWS operational management
- Strong understanding of AWS services such as EC2, S3, Glue, and EMR
- Proficiency in AWS security best practices
- Hands-on experience with automation and DevOps tools such as Terraform
- Ability to read and write in English
Responsibilities
- Design, develop, and maintain highly scalable, reliable, and efficient data processing systems
- Collaborate with data analysts, software developers, and business stakeholders to architect data solutions
- Develop and maintain ETL pipelines for extracting, transforming, and loading data into the Databricks data warehouse
- Develop and maintain real-time data processing systems using Spark Streaming and Kafka
- Establish and enforce data quality and validation checks
- Troubleshoot and resolve complex data processing issues across teams
- Monitor and optimize data processing systems for performance, scalability, and reliability
- Utilize AWS services such as EC2, S3, Glue, and Databricks to architect and manage data infrastructure
- Implement security measures and access controls to safeguard data assets
- Stay current with AWS technologies and best practices
Benefits
- Meaningful cross-functional collaboration with opportunities to improve customer experience
- Opportunities for career advancement as the organization expands outside APAC
- A culture that welcomes data-backed ideas and meaningful change