Remote Data Engineer — Build Scalable Pipelines & Analytics

MicroSourcing; Manila; On-site; PHP 900,000 - 1,200,000; Full time

Benefits offered by this job

Healthcare coverage on day one

Dependent coverage

Paid time-off with cash conversion

Group life insurance

Performance bonuses

Remote work option

Job summary

MicroSourcing in the Philippines is seeking a Data Engineer to design, build, and maintain scalable data pipelines and ETL/ELT processes in a remote setting.

You will optimize data architectures to support analytics and business intelligence initiatives, integrate data from multiple sources, ensure data quality and reliability, and collaborate with data analysts, data scientists, and stakeholders to translate requirements into technical solutions, with monitoring and performance tuning for

Qualifications

• SQL proficiency required.
• Experience designing and maintaining data pipelines.
• Strong programming skills in at least one language (Python/Java/Scala).
• Experience with data processing frameworks and tools.

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 proficiency

Data pipeline design

ETL/ELT concepts

Programming in Python/Java/Scala

Education

Bachelor's degree in Computer Science or related field

Tools

Spark

Airflow

dbt

PostgreSQL/MySQL/SQL Server

Job description

MicroSourcing in the Philippines is seeking a Data Engineer to design, build, and maintain scalable data pipelines and ETL/ELT processes in a remote setting.

You will optimize data architectures to support analytics and business intelligence initiatives, integrate data from multiple sources, ensure data quality and reliability, and collaborate with data analysts, data scientists, and stakeholders to translate requirements into technical solutions, with monitoring and performance tuning for