Data Engineer developing scalable data pipelines for Bitcoin mining software, supporting compute infrastructure, and influencing company - wide strategy.
AG
Data Engineer – MS Fabric Developer
Posted yesterday
About the role
- Data Engineer role focused on building and optimizing data pipelines within Microsoft Fabric at AIM. Collaborating closely with analysts and developers to deliver scalable data solutions.
Responsibilities
- Design, develop, and maintain data pipelines using Microsoft Fabric
- Develop and optimize Spark Notebooks (PySpark / Spark SQL) for data transformation and processing
- Build scalable ETL/ELT workflows for structured and unstructured data
- Work within Microsoft Fabric ecosystem (Data Factory, Lakehouse, Warehousing)
- Design and manage data models and storage layers (Bronze, Silver, Gold architecture)
- Ensure performance optimization and efficient data processing
- Integrate data from multiple sources, including: APIs, Databases, Cloud storage systems
- Ensure data quality, validation, and governance best practices
- Collaborate with Power BI developers and analysts to support reporting requirements
- Enable clean, structured datasets for reporting and visualization
- Support business teams with data insights and troubleshooting
- Monitor and optimize data pipelines and Spark workloads
- Troubleshoot data issues and ensure reliability and performance
- Support deployment and CI/CD processes for data solutions
- Maintain technical documentation for data pipelines and workflows
- Support standardization of data engineering processes and best practices
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, IT, or a related field
- 4–6+ years of experience in data engineering or data platform development
- Hands-on experience with Microsoft Fabric or Azure Data Platform
- Strong experience working with Spark Notebooks (PySpark / Spark SQL)
- Expertise in: Microsoft Fabric, Spark / PySpark / Spark SQL, Data pipelines (ETL/ELT)
- Experience with: Azure Data Factory / Synapse / Fabric pipelines, Data Lake / Lakehouse architecture, SQL and relational databases
- Understanding of: Data modeling concepts, Data governance and quality frameworks
Benefits
- 100% remote work environment
- Opportunity to work on modern cloud and data platforms (Microsoft Fabric)
- Exposure to enterprise-scale data and analytics projects
- Collaborative and growth-focused culture
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