Data Engineer

3 months ago


Pasig, Philippines Para Xpress Technology Services Inc. Full time
As the Data Engineer for our core product, you will play a key role in designing, building, and maintaining the data infrastructure that powers our analytics, managing the flow and structure of data to ensure that it can be effectively used for decision-making, analysis, and product improvements.

Key Responsibilities:

- Data Pipeline Development: Design, develop, and optimize data pipelines to collect, process, and store large volumes of data from multiple sources, such as ride requests, driver behavior, location data, and user activity.
- Data Integration: Ensure smooth integration of diverse data sources (e.g., GPS data, payment systems, app usage metrics) to enable comprehensive analysis and reporting.
- Database Management: Create and maintain a cloud-based data warehouse (e.g., AWS Redshift, Google BigQuery, etc.) to support business intelligence and analytics teams.
- Real-time Data Processing: Implement real-time data streaming and processing systems to capture and analyze patterns, user behavior, and operational data in real-time, which helps optimize services such as route suggestions, matching, and pricing algorithms.
ETL Processes: Build Extract, Transform, Load (ETL) processes to convert raw data into usable formats for various business and analytics purposes.
- Data Quality and Reliability: Ensure the accuracy, completeness, and reliability of the data by implementing data validation, error handling, and data monitoring solutions.
- Cross Collaboration: Provide directional guidance to the development team, participating actively in Agile ceremonies to ensure a cohesive product evolution.

Qualifications:
- At least 2-3 years experience in database technologies and data warehousing
- Experience in automation of data collection and transformation
- Familiarity with common software tools used for big data analysis. Must have solid programming experience in SAS, or SQL, or Python.
- Strong understanding of statistical analysis techniques
- Experience in working with and developing APIs
- Education: BSc/MSc degree in Computer Science, Engineering, or any related field
- Able to collaborate with developers and other stakeholders to build end-to-end data pipelines
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