Data Engineer (pooling)

MicroSourcing; Cagayan de Oro; On-site; PHP 700,000 - 1,100,000; Full time

Benefits offered by this job

Healthcare on day one

Paid time off with cash conversion

Group life insurance

Performance bonuses

Career growth

Collaborative work culture

Work-life balance

Job summary

MicroSourcing in Cagayan De Oro, Philippines, is seeking a Data Engineer (pooling) to design, build, and maintain scalable data pipelines and ETL/ELT processes for analytics and business intelligence initiatives.

The role requires 3+ years of data engineering, strong SQL skills with PostgreSQL/MySQL/SQL Server, and hands-on experience with Spark, Airflow, dbt, or similar tools. Proficiency in Python, Java, or Scala is essential for collaboration with analysts and stakeholders.

Qualifications

• Bachelor’s degree in a relevant field.
• Minimum 3+ years of data engineering experience.
• Strong SQL proficiency and experience with relational databases.
• Hands-on experience with data processing frameworks and tools.
• Proficiency in Python, Java, or Scala.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data architectures to support analytics and BI initiatives.
• Integrate data from multiple sources, ensuring data quality and reliability.
• Collaborate with analysts, data scientists, and stakeholders to translate requirements into technical solutions.
• Implement monitoring, validation, and performance tuning for efficient data processing.

Skills

SQL

Python

Java

Scala

PostgreSQL

MySQL

SQL Server

Airflow

dbt

Spark

Kafka

Cloud platforms

AWS

GCP

Azure

BigQuery

Agile/Scrum

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field

Tools

Spark

Airflow

dbt

Job description

Job Description

Data Engineer (pooling)

Location: Cagayan De Oro, Misamis Oriental, Philippines. Employment type: Full‑time, On‑site.

Your Role

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data architectures to support analytics and business intelligence initiatives.
• Integrate data from multiple sources, ensuring data quality, integrity, and reliability.
• Collaborate with data analysts, data scientists, and stakeholders to translate business requirements into technical solutions.
• Implement monitoring, validation, and performance tuning to ensure efficient data processing.

What You Need

• Non‑negotiables
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
  • 3+ years of experience in data engineering or related roles
  • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
  • Hands‑on experience with data processing frameworks and tools (e.g., Spark, Airflow, dbt, or similar)
  • Proficiency in at least one programming language such as Python, Java, or Scala
• Preferred Skills / Expertise
  • Experience working with cloud data platforms such as AWS, Azure, or GCP
  • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
  • Understanding of data modeling concepts (e.g., star schema, dimensional modeling)
  • Experience with streaming technologies (e.g., Kafka)
  • Experience working in Agile/Scrum development environments

Benefits

• Competitive Rewards: above‑market compensation, healthcare coverage on day one, plus one or more dependents, paid time‑off with cash conversion, group life insurance, and performance bonuses
• Collaborative Spirit: positive and engaging work environment through company‑sponsored events and activities
• Work‑Life Harmony: flexible work arrangements for balance
• Career Growth: opportunities for continuous learning and advancement
• Inclusive Teamwork: a culture that celebrates diversity and fosters inclusion