Data Engineer
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Summary
Full-time remote data engineer building Azure data pipelines for a data engineering team.
What you will do
- Design, build and maintain pipelines with Azure Synapse Analytics and Azure Data Factory
- Work with stakeholders on data requirements for large-scale analysis and reporting
- Ensure data quality and secure data handling
- Support data scientists and analysts, and monitor pipeline performance
What they are looking for
- 3+ years as a data engineer focused on Azure data services
- Strong SQL, Python and scripting skills
- Knowledge of data modeling, ETL and data warehousing
- Bachelor's degree in a related field, though experience counts more than education
What is offered
- 60,000 to 100,000 Philippine pesos per month
- Permanent work from home
- Australian morning shift
Remote details
Full-time, Monday to Friday, 40 hours a week, on an Australian morning shift.
Best for Azure data engineers who are happy to work Australian morning hours.
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