Data Operations Engineer - Pipelines, ETL & Cloud

Emerson; Mandaluyong; On-site; PHP 600,000 - 900,000; Full time

Job summary

Emerson is seeking a Developer, Data Operations to manage data infrastructure, pipelines, and integration, ensuring data quality and governance. You will work with data scientists, engineers, and warehouses to transform raw data into dashboards, predictions, and business tools.

Ideal candidates have a degree in a relevant field and hands-on internship experience; 3+ years of related work in IT software development, data operations, or automation is preferred.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Information Systems, or similar fields.
• Fresh graduates with hands-on internship experience welcome to apply.

Responsibilities

• Define database design, data flows, and data integration techniques.
• Design and build data solutions ensuring data quality, reliability, availability, and data governance.
• Provide technical expertise, risk analysis, and business and technical assessment of change requests in relation to data platforms.
• Ensure data is processed and stored efficiently and monitor data quality, ensuring data meets relevant standards.
• Troubleshoot technical issues related to data operations.
• Collaborate with data scientists, data engineers, data warehouses, and other collaborators to ensure data is used effectively to drive business outcomes.
• Automate data processes, including ingestion, transformation, and storage, using SQL, Python, Azure Synapse, and relevant technologies.
• Create ETL designs and work with different data sources (i.e., Oracle, JDE, SharePoint, Excel, SAP, and other files).

Skills

SQL

Python

Data warehousing

Cloud platforms

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

Azure Synapse

Oracle

JDE

SharePoint

Excel

SAP

Job description

Emerson is seeking a Developer, Data Operations to manage data infrastructure, pipelines, and integration, ensuring data quality and governance. You will work with data scientists, engineers, and warehouses to transform raw data into dashboards, predictions, and business tools.

Ideal candidates have a degree in a relevant field and hands-on internship experience; 3+ years of related work in IT software development, data operations, or automation is preferred.