Darbas
Iš partnerio sklaidos
Data Engineer
60 000 USD Atlyginimas
Detalės
- Įdarbinimo tipas
- Pilnas darbo laikas
- Nuotolinis
- Taip
- Atlyginimas nuo
- 60 000
- Atlyginimas iki
- 100 000
- Įmonė
- Get My Course
Aprašymas
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
Source: Himalayas (https://himalayas.app/companies/get-my-course/jobs/data-engineer?utm_source=api)
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
Source: Himalayas (https://himalayas.app/companies/get-my-course/jobs/data-engineer?utm_source=api)
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