Data Engineer Fabric
Data Engineer Fabric
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Our Client is one of the TOP5 global management consulting firms considered to be among the most prestigious ones in the world. Hundreds of customers from Fortune500 including the largest global financial institutions the worlds top media companies technology companies and federal government agencies rely on our Clients proven platform and services.
Project Description: This proprietary platform enhances interactions with external network service providers allowing consultants to find and interview industry experts for research. The platform offers features such as querying vendors reading transcripts from past calls expert discovery scheduling conducting calls and browsing current project transcripts. It aims to provide faster higher quality insights in a secure environment.
Stack on the project: Python SQL AWS/Azure
Requirements:
- Proven experience with Microsoft Fabric including components such as Data Pipelines Lakehouses Notebooks and Dataflows.
- Strong proficiency in programming languages (e.g. Python SQL) and data manipulation.
- Proficiency with Microsoft Power BI and integration with Microsoft Fabric
- Experience designing and implementing ETL/ELT processes with large complex datasets.
- Familiarity with Excel file formats and techniques for processing semistructured data.
Responsibilities:
- Design develop and maintain scalable data pipelines within the project.
- Convert large Excelbased datasets into multiple refined data subsets for analytical and business reporting purposes.
- Develop ETL/ELT processes ensuring data quality consistency and lineage.
- Work on scaling projects components to support growing data volumes and performance requirements.
- Monitor troubleshoot and optimize the data processing workflows to ensure high performance and reliability.
- Recommend and implement best practices for data pipeline design within a cloud environment.
English: UpperIntermediate
Locations: Poland
Employment Type
Full Time
