Data Engineer

Nityo Infotech Inc.; Quezon City; On-site; PHP 446,400 - 669,600; Full time

Job summary

A leading tech firm in Quezon City seeks a Data Engineer to design and maintain data pipelines and architectures. You will work with diverse data sources and cloud platforms, optimizing systems for performance and reliability. Ideal candidates should have a degree in a relevant field and strong skills in Python, SQL, and cloud tools like Azure and Power BI. Join us to collaborate on innovative data solutions.

Qualifications

• Degree in Computer Engineering, Data Science, Statistics, Physics, or a related IT field.
• Proficient in Python (Apache Spark), SQL, and DAX.
• Experience with Azure, Databricks, Power BI, and GitHub.

Responsibilities

• Build and manage end-to-end data pipelines and workflows.
• Develop and maintain ETL/ELT processes for structured and unstructured data.
• Integrate data from APIs, databases, and cloud storage.

Skills

Python (Apache Spark)

SQL

DAX

ETL/ELT

Data modeling

Agile methodologies

Education

Degree in Computer Engineering, Data Science, Statistics, or related field

Tools

Azure

Databricks

Power BI

GitHub

Job description

Data Engineer

As a Data Engineer, you will be responsible for designing and maintaining robust, scalable data pipelines and architectures.

You will work with various data sources and cloud platforms to ensure efficient data integration, transformation, and storage for analytics and business use.

Key Responsibilities

• Build and manage end-to-end data pipelines and workflows
• Develop and maintain ETL/ELT processes for structured and unstructured data
• Integrate data from APIs, databases, and cloud storage
• Optimize data systems for performance, reliability, and cost-efficiency
• Collaborate with analysts and stakeholders to deliver clean, accessible datasets
• Monitor and troubleshoot data-related issues and bottlenecks
• Manage cloud infrastructure (Azure, AWS) for data storage and processing
• Document technical workflows and provide technical support to the team

Qualifications

• Degree in Computer Engineering, Data Science, Statistics, Physics, or a related IT field
• Proficient in Python (Apache Spark), SQL, and DAX
• Experience with Azure, Databricks, Power BI, and GitHub
• Knowledge of ETL/ELT, APIs, data modeling, data quality, and governance
• Familiarity with file types: parquet, CSV, JSON, etc.
• Knowledge of Agile methodologies (Scrum/Kanban)
• Nice to have: LS Central, Dynamics 365, Tableau, AL, HTML, CSS