Remote Data Engineer — ETL Pipelines & Data Quality

MicroSourcing International; Manila; Remote; PHP 600.000 - 1.000.000; Vollzeit

Benefits dieser Stelle

Healthcare coverage on day one

Performance bonuses

Paid time-off with cash conversion

Group life insurance

Zusammenfassung

MicroSourcing is seeking a Data Engineer in a Philippines-based work-from-home, dayshift setup. Design, develop, and maintain data pipelines, ETL processes, and integration solutions while ensuring data accuracy and performance for customer implementations.

Responsibilities include troubleshooting data issues, building data quality checks, and collaborating with customers to meet data requirements. Strong SQL, Python, and experience with relational databases are required, with knowledge of cloud

Qualifikationen

• Proficiency in SQL and relational databases.
• Strong scripting skills, preferably Python.
• Experience with ETL processes, data pipelines, and data integration techniques.
• Understanding of data modeling and data warehousing concepts.
• Strong analytical and problem-solving skills with attention to detail.

Aufgaben

• Design, develop, and maintain data pipelines and ETL processes.
• Support existing customer implementations and troubleshoot data-related issues.
• Develop and maintain data quality checks and monitoring processes.
• Assist customers in debugging ETL issues, especially in Australasia region.
• Collaborate with customers and stakeholders to understand data requirements and deliver effective solutions.

Kenntnisse

SQL

Python

ETL

Data modeling

Data warehousing

Ausbildung

Bachelor's degree in Computer Science or Information Systems

Tools

MySQL

Relational DBs

AWS/Azure/GCP

ERP integrations

Jobbeschreibung

MicroSourcing is seeking a Data Engineer in a Philippines-based work-from-home, dayshift setup. Design, develop, and maintain data pipelines, ETL processes, and integration solutions while ensuring data accuracy and performance for customer implementations.

Responsibilities include troubleshooting data issues, building data quality checks, and collaborating with customers to meet data requirements. Strong SQL, Python, and experience with relational databases are required, with knowledge of cloud