Data Engineer

Stratpoint Technologies; Mandaluyong; Hybrid; PHP 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Open office spaces for collaboration

Job summary

Stratpoint Technologies is seeking a Data Engineer to design, develop, and manage data pipelines and architectures. You will ensure data flows from multiple sources into databases, data lakes or warehouses to support business analysis and decision-making.

The role emphasizes strong software engineering, data processing frameworks, and the ability to optimize and scale large data systems within a hybrid work environment.

Qualifications

• Degree in Computer Engineering, Data Science, Statistics, Physics or related IT field.
• Experience with Agile methodologies (Scrum/Kanban).
• Proficient in Python, SQL and PySpark for data processing.

Responsibilities

• Design, build, and maintain scalable data pipelines from various sources.
• Maintain databases, data warehouses, and data lakes ensuring integrity and scalability.
• Implement ETL/ELT processes to automate data collection, cleaning, and transformation.
• Integrate data from internal and external sources, including APIs and cloud storage.
• Optimize data architectures for performance and cost efficiency.
• Collaborate with data team to deliver reliable, clean data solutions.
• Implement data validation and monitoring to ensure accuracy.
• Manage cloud infrastructure (AWS, Azure) for storage and processing.
• Automate repetitive tasks using Python and SQL; document architectures.
• Provide live verification and testing before production.
• Support data extraction and reporting as required.

Skills

Python

PySpark

SQL

DAX

Azure

AWS

ETL/ELT

APIs

Databricks

Education

Bachelor's degree in Computer Engineering / Data Science / Statistics / Physics

Tools

Github

Databricks

AWS

PowerBI

Linux

Job description

The Data Engineer will be responsible for designing, developing, and managing data pipelines and architectures. S/he will ensure that data flows seamlessly from multiple sources into databases, data lakes, or warehouses and is processed in a way that supports business analysis and decision-making. The ideal candidate will have strong software engineering skills, experience with data processing frameworks, and the ability to optimize and scale large data systems.

The Benefits

At Stratpoint, we enjoy the autonomy, lack of bureaucracy, and the freedom to experiment but without the chaos. We’re like a startup but with adult supervision.

You will be supported by capable management of HR, Finance and IT that adheres to the highest standards of integrity and good governance. Hybrid is our mode of work, but when we need to come together, we have inviting open floor office spaces designed to spark gatherings, collaboration, and camaraderie.

Your Responsibilities

• Design, build, and maintain scalable data pipelines that support data collection, transformation, and integration from various sources.
• Maintain databases, data warehouses, data lake ensuring data integrity, scalability, and reliability.
• Implement efficient ETL/ELT (Extract, Transform, Load) processes to automate data collection, cleaning, and transformation tasks.
• Integrate data from various internal and external sources, including APIs, cloud storage, third-party systems, and databases.
• Optimize data architectures for performance, scalability, and cost efficiency. Ensure fast and reliable data retrieval.
• Work closely with the data team to understand data needs and deliver reliable, clean, and accessible data solutions.
• Implement data validation and monitoring processes to ensure data accuracy and integrity. Identify and troubleshoot data issues and bottlenecks.
• Manage and optimize cloud-based infrastructure (e.g., AWS, Azure) to support data storage, processing, and retrieval.
• Automate repetitive tasks and processes using scripting languages (e.g., Python and SQL) and workflows.
• Document data architectures, pipelines, and workflows that will be understood by the Information Technology (IT) department. Provide technical support and troubleshooting to the team.
• Demonstrating a strong track record of interacting with the business and technology partners to drive the requirement, technical process into acceptance criteria.
• Keen on performing user live verification and testing to avoid errors before going to the production environment.
• Provide support for data extraction and reports as required.

About You

• Degree in Computer Engineering / Data Science / Statistics / Physics or any other related field in IT
• Knowledge in Agile methodology (e.g. Scrum & Kanban)
• Experienced in using cloud computing platforms (Azure)
• Coding Languages (Python / PySpark, SQL, DAX)
• File types (Parquet, SQL, CSV, XLSX, JSON, TXT)
• Systems / Softwares / Platforms (Github, Databricks, AWS, PowerBI, Linux)
• Other Qualifications (ETL/ELT, Integration, API, Statistics, Code/Performance Optimization, Data Wrangling)