Data Engineer
# Data Engineer **Get My Course** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 💰 **Компенсация:** `60,000 – 100,000 PHP` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Azure-Data-Engineer]` `[ETL-Developer]` `[Data-Warehouse-Engineer]` `[Data-Platform-Engineer]` `[Data-Engineer-Jobs]` `[Data-Engineering]` `[Data-Engineering-Analyst]` `[Data-Engineering-Specialist]` `[Data-Engineering-Jobs]` `[Dataset-Engineer]` --- ### About the Role This is a remote position. Job title: Data Engineer Schedule: Full time; 40 hours per week; Monday to Friday Rate: 60,000 - 100,000 Philippine Pesos per month We are seeking a highly skilled and experienced Data Engineer to join our Data Engineering team. The ideal candidate will have a strong foundation in data processing and analytics, with specific expertise in Microsoft Azure's Synapse Analytics and Azure Data Factory. You will play a crucial role in developing and optimizing our data pipeline architecture, as well as managing and improving data flow and collection for cross-functional teams. Responsibilities: - Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory. - Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting. - Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures. - Collaborate with data scientists and analysts to support data modelling, analysis, and machine learning projects. - Monitor and optimize performance of data pipelines and databases. Requirements - Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education) - Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services, particularly Azure Synapse Analytics and Azure Data Factory. - Proven expertise in SQL, Python, and other scripting languages. - Experience with data modeling, ETL processes, and data warehousing principles. - Familiarity with Azure Databricks, Azure Data Lake Storage, and other components of the Azure data ecosystem is a plus. - Strong analytical and problem-solving skills, with the ability to work independently and as part of a team. - Excellent communication skills, with the ability to convey complex technical information to non-technical stakeholders. - PowerBI experience is also advantageous. Benefits - Permanent work from home - AU morning shift - Fun and engaging culture Originally posted on Himalayas
- Data-Engineer
- Azure-Data-Engineer
- ETL-Developer
- Data-Warehouse-Engineer
- Data-Platform-Engineer
- Data-Engineer-Jobs
- Data-Engineering
- Data-Engineering-Analyst
- Data-Engineering-Specialist
- Data-Engineering-Jobs
- Dataset-Engineer
Наблюдалась 2026-10-19, впервые 2026-10-19, источник — Himalayas (JSON API).