Data Engineer

Satellite Office; Taguig; On-site; PHP 669,600 - 892,800; Full time

Job summary

Satellite Office is looking for a skilled Data Engineer to manage data infrastructure in Taguig, Philippines. The role involves designing, building, and maintaining data pipelines, integrating various data sources, and ensuring data governance. Candidates should have a Bachelor's degree in Computer Science or a related field, proven experience in data engineering, and strong programming skills in Python, Java, or Scala. Familiarity with big data tools and cloud services is essential. Excellent analytical and problem-solving skills are a must.

Qualifications

• Bachelor's degree in Computer Science, Engineering, IT, or related field.
• Proven experience as a Data Engineer or similar role.
• Strong programming skills in Python, Java, or Scala.
• Expertise in SQL and experience with relational and NoSQL databases.
• Hands-on experience with big data tools and cloud data services.

Responsibilities

• Design, construct, install, and maintain large-scale data processing systems.
• Integrate data from various sources into a centralized data warehouse.
• Develop and maintain ETL/ELT processes to ensure data quality.
• Build and optimize data models for reporting tools.
• Monitor data systems performance and implement optimizations.

Skills

Data engineering

Python programming

SQL expertise

Attention to detail

ETL processes

Big data tools experience

Analytical skills

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS Glue

SQL Server

Spark

Kafka

PostgreSQL

Airflow

Job description

We are looking for a skilled Data Engineer to design, build, and manage our data infrastructure. You will be responsible for constructing robust data pipelines that collect, process, and store data from various sources, enabling data-driven decision-making for our business units. Experience with modern cloud data platforms is highly valued.

Key Responsibilities

• Design, construct, install, and maintain large-scale data processing systems and pipelines.
• Integrate data from disparate sources (APIs, databases, files) into a centralized data warehouse or lake.
• Develop and maintain ETL/ELT processes to ensure data is accurate, reliable, and accessible.
• Build and optimize data models for reporting and analytics tools (e.g., Power BI, Tableau).
• Work with data scientists and analysts to assist in data ingestion and preparation needs.
• Ensure data governance, security, and compliance standards are met.
• Monitor data systems performance and implement optimizations.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, IT, or a related field.
• Proven experience as a Data Engineer or in a similar role, ideally in a multinational corporation or for international clients.
• Strong programming skills in Python, Java, or Scala.
• Expertise in SQL and experience with relational (e.g., SQL Server, PostgreSQL) and NoSQL databases.
• Hands‑on experience with big data tools (e.g., Spark, Kafka) and cloud data services (e.g., AWS Glue/Redshift/S3, Azure Data Factory/Synapse, GCP BigQuery).
• Experience with data pipeline and workflow management tools (e.g., Airflow, dbt) is a strong advantage.
• Excellent analytical and problem‑solving abilities with a meticulous attention to detail.