Data Operations Engineer II — Hybrid & Data Pipelines

City of Shakopee, MN; Mandaluyong; Hybrid; PHP 700,000 - 1,000,000; Full time

Job summary

Emerson in Mandaluyong, National Capital Region, Philippines, is hiring a Developer II, Data Operations. You will manage infrastructure for data operations including servers, databases, and cloud services for Pressure Management.

You’ll design data pipelines, ensure quality, and enable dashboards and data warehouses to drive business outcomes. You will collaborate with data scientists and engineers, automate ingestion, transformation, and storage using SQL, Python, Azure Synapse, and related

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Information Systems, or similar field.
• 3+ years of relevant IT software development, data operations, or data integration experience.
• Proficiency in SQL and Python for data manipulation and scripting.

Responsibilities

• Define database design, data flows, and data integration techniques.
• Design and build data solutions ensuring data quality, reliability, availability, and governance.
• Provide technical expertise, risk analysis, and assessments for data platform changes.
• Ensure data is processed and stored efficiently and monitor data quality and standards.
• Troubleshoot data operations issues and optimize pipelines.
• Collaborate with data scientists, engineers, warehouses to drive business outcomes.
• Automate data processes via SQL, Python, Azure Synapse, and related tools.
• Create ETL designs and integrate sources such as Oracle, JDE, SharePoint, Excel, SAP.

Skills

SQL

Python

Education

Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Information Systems, or similar fields

Job description

Emerson in Mandaluyong, National Capital Region, Philippines, is hiring a Developer II, Data Operations. You will manage infrastructure for data operations including servers, databases, and cloud services for Pressure Management.

You’ll design data pipelines, ensure quality, and enable dashboards and data warehouses to drive business outcomes. You will collaborate with data scientists and engineers, automate ingestion, transformation, and storage using SQL, Python, Azure Synapse, and related