Hybrid Data Engineer — Build Scalable Pipelines & Grow

MicroSourcing International; Cagayan de Oro; Hybrid; PHP 600,000 - 1,000,000; Full time

Benefits offered by this job

Healthcare coverage on day one

Paid time-off with cash conversion

Group life insurance

Performance bonuses

Hybrid work arrangements

Job summary

MicroSourcing is seeking a Data Engineer to design and maintain scalable data pipelines in a hybrid work setup in Cagayan De Oro. The role emphasizes building robust data architectures, integrating multiple sources, and ensuring data quality to empower analytics and BI initiatives.

The ideal candidate has 3+ years in data engineering, strong SQL skills with relational databases, and hands-on experience with Spark, Airflow, or dbt, plus proficiency in Python, Java, or Scala.

Qualifications

• 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 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.

Responsibilities

• 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.

Skills

SQL

Relational DBs

Python/Java/Scala

Spark/Airflow/dbt

Cloud data platforms

Education

Bachelor's degree in CS/IT/Engineering or related field

Tools

Spark

Airflow

dbt

Job description

MicroSourcing is seeking a Data Engineer to design and maintain scalable data pipelines in a hybrid work setup in Cagayan De Oro. The role emphasizes building robust data architectures, integrating multiple sources, and ensuring data quality to empower analytics and BI initiatives.

The ideal candidate has 3+ years in data engineering, strong SQL skills with relational databases, and hands-on experience with Spark, Airflow, or dbt, plus proficiency in Python, Java, or Scala.