Data Engineer

CTT.Synergy Corporation; Metro Manila; Hybrid; PHP 700,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid/Remote work

Salary & Allowances

Leave credits

HMO & Insurance

Great working environment

Learning & Development

Job summary

CTT.Synergy Corporation is seeking a Data Engineer to design, build, and maintain scalable data pipelines powering analytics and ML initiatives. You will work with data scientists, software engineers, and business analysts to translate data needs into robust, scalable solutions.

The role emphasizes ETL/ELT development, data warehouse and lake design, data quality, and security compliance within a hybrid work setup.

Qualifications

• At least 2 years of data engineering or data architecture experience.
• Bachelor’s degree in CS/IT/SE or related field.
• Strong Python/Java/Scala programming and SQL skills.
• Experience with cloud data warehouses and ETL/ELT pipelines.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Architect data warehouses, data lakes, and schemas.
• Ensure data quality, validation, and monitoring.
• Collaborate with data scientists and analysts.
• Optimize performance and manage cloud costs.
• Ensure security and compliance of data pipelines.

Skills

Python

Java

Scala

Database design

Big data

Education

Bachelor’s degree in CS/IT/SE

Tools

ETL tools

Cloud platform

Workflow orchestration

Data warehousing

Job description

Job Summary

We are seeking a talented and driven Data Engineer to join our growing data team. In this role, you will be responsible for designing, constructing, installing, testing, and maintaining highly scalable data management systems. You will collaborate closely with Data Scientists, Software Engineers, and Business Analysts to understand data needs and deliver robust data pipelines that power our company's analytics and machine learning initiatives.

Core Responsibilities

• Build Data Pipelines: Design, develop, and maintain automated, scalable ETL/ELT (Extract, Transform, Load) pipelines to ingest data from a variety of sources (APIs, databases, logs, third-party tools), or any similar platforms.


• Infrastructure Design: Architect and optimize data warehouses, data lakes, and database schemas to ensure high performance, reliability, and scalability.

• Data Architecture: Build and optimize scalable cloud data warehouses, data lakes, and database schemas to support high-performance analytics.


• Data Quality & Monitoring: Implement automated data validation, error handling, and alerting mechanisms to ensure the highest standards of data integrity, accuracy, and uptime.


• Performance Optimization: Continually monitor and tune database queries, pipeline workflows, and storage configurations to minimize latency and manage cloud infrastructure costs.


• Cross-Functional Collaboration: Partner with data analysts and business stakeholders to model data into clean, accessible formats, and support data scientists in deploying machine learning features.


• Security & Compliance: Ensure all data pipelines and storage solutions adhere to company security policies and data governance regulations (e.g., GDPR, CCPA).

Required Skills & Qualifications

• Programming:Proficient inPython,Java, orScala,or any similar programming language.


• Advanced knowledge in Database Expertise, Big Data & Warehousing, Workflow Orchestration, and Cloud Platform.

• Experience: At least 2 years of professional experience specifically in data engineering, data architecture, or software engineering with a heavy data focus.


• Education: Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related quantitative field (equivalent practical experience will also be considered).


• Team player and keen on details.

What We Offer

1. Hybrid Work Set-up and Remote Work (Flexible Work)


2. Competitive Salary and Allowances


3. 30 Leave Credits Annually


4. HMO and Insurance


5. Great Working Environment


6. Learning and Development Opportunities