
Senior Data Engineer
2 weeks ago
Who we are
We are seeking an experienced and motivated Data Engineer to join our team. The role focuses on the development, optimization, and maintenance of Python-based ETL pipelines within an Azure Synapse environment. You will also be responsible for ensuring the reliability, scalability, and performance of our data systems. The ideal candidate will have a strong technical background, excellent communication skills, and the ability to work collaboratively with diverse stakeholders.
What you'll be doing
- Develop and optimize Python-based ETL pipelines using Azure Synapse
- Maintain and improve existing pipelines for reliability and performance
- Plan and manage capacity and sizing of cloud service components
- Oversee operations and maintenance of software, infrastructure, and databases
- Manage interactions with PowerBI APIs
- Monitor system performance and ensure SLA compliance
- Create and maintain service-related documentation
- Optimize processes and configurations across environments
- Coordinate with development, architecture, rollout, operations teams, and customers for releases and upgrades
- Support risk assessments and audits for service-related components
What you'll bring along
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum 5-10 years of experience in data engineering
- Minimum 2 years of experience with Python for data processing (Polars, Pandas, PySpark, etc.)
- At least 1 year of hands-on experience with Microsoft Azure
- Solid understanding of cloud architecture and ITIL principles
- Familiarity with the software-as-a-service (SaaS) model
- Excellent communication skills with a high degree of customer focus
- Experience with Azure Synapse, Delta Lake, and/or PowerBI
- Exposure to Business Intelligence (BI) projects
- Familiarity with DevOps practices and tools
- Knowledge of DataVault 2.0 methodologies
- Excellent command of both spoken and written English.
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