Data Engineer – Hybrid: Build Scalable Pipelines & APIs

Sprout Solutions Phil.; Mandaluyong; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

Sprout Solutions Phil. is seeking a Data Engineer for a hybrid setup in Metro Manila. The role focuses on transforming data for analysis, designing and developing Sprout's data system, and supporting machine learning initiatives.

The engineer will ensure robust data delivery across projects and collaborate with software engineers, data scientists, and architects. You will build and optimize data models, pipelines and APIs, work with diverse data sources, and help deploy models created by the

Qualifications

• Strong SQL/NoSQL knowledge and data engineering best practices.
• Experience with SQL-based and NoSQL data stores.
• Experience with data modeling (data warehouse/lake) and storage schemes.
• Familiarity with ETL tools and processing frameworks (Spark/Hadoop).
• Experience building and optimizing data pipelines and architectures.
• Proficiency with Azure data services.
• Familiarity with PowerBI or similar visualization tools.
• Comfort with agile development and collaborating across teams.

Responsibilities

• Build, optimize and maintain database models (conceptual/logical/physical).
• Develop database solutions to store and retrieve information.
• Assemble datasets meeting business requirements.
• Build infrastructure for ETL from diverse data sources.
• Monitor data integrity and adopt appropriate tools.
• Improve system performance and scalability.
• Redesign data architecture to support product and data initiatives.
• Design, develop, test and deploy web service APIs.
• Collaborate with Data Scientists to identify future needs.
• Deploy models and algorithms developed by the Data Science team.

Skills

SQL & NoSQL

Python/Java/Scala

Data modeling

ETL pipelines

PowerBI

Azure

Analytical thinking

Problem solving

Team collaboration

Tools

Azure

Job description

Sprout Solutions Phil. is seeking a Data Engineer for a hybrid setup in Metro Manila. The role focuses on transforming data for analysis, designing and developing Sprout's data system, and supporting machine learning initiatives.

The engineer will ensure robust data delivery across projects and collaborate with software engineers, data scientists, and architects. You will build and optimize data models, pipelines and APIs, work with diverse data sources, and help deploy models created by the