Data Engineer | Hybrid/Remote, Growth & Impact

Manatal; Philippines; Hybrid; PHP 1.004.000 - 1.674.000; Vollzeit

Benefits dieser Stelle

Healthcare on day one + dependents

Bonuses

Paid time-off with cash conversion

Group life insurance

Zusammenfassung

MicroSourcing is seeking a Data Engineer in the Philippines to design and maintain scalable data pipelines across ETL/ELT processes. You will develop data architectures and collaborate with analysts and scientists to translate business needs into robust technical solutions.

The role requires hands-on experience with Spark, Airflow, and dbt, plus strong SQL and programming skills (Python/Java/Scala). Flexible work setups are mentioned, with onsite/hybrid/remote options.

Qualifikationen

• Bachelor’s degree in Computer Science, IT, Engineering or 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

Aufgaben

• 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, 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.

Kenntnisse

SQL

Relational databases

Data pipelines

ETL/ELT

Python

Java

Scala

Spark

Airflow

dbt

Ausbildung

Bachelor’s degree in Computer Science, Information Technology, Engineering

Tools

Spark

Airflow

dbt

Jobbeschreibung

MicroSourcing is seeking a Data Engineer in the Philippines to design and maintain scalable data pipelines across ETL/ELT processes. You will develop data architectures and collaborate with analysts and scientists to translate business needs into robust technical solutions.

The role requires hands-on experience with Spark, Airflow, and dbt, plus strong SQL and programming skills (Python/Java/Scala). Flexible work setups are mentioned, with onsite/hybrid/remote options.