Data Engineer
Free to start · No card · 5 credits the moment you sign up
Job description
This is a remote position.
- 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
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