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We are seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in modern data platforms, data modeling, and integration with external systems. This role focuses on delivering reliable, high-performance data solutions while supporting analytics and business intelligence initiatives. Requirement/Must Have:
Strong experience in data engineering using Python, SQL, and PySpark. Experience building and maintaining scalable data pipelines. Hands-on experience with Microsoft Fabric and related tools. Experience integrating external systems using REST or Graph APIs. Strong understanding of data modeling and analytics datasets. Experience with data quality, validation, and governance practices. Strong troubleshooting and problem-solving skills. Responsibilities:
Design, build, and maintain scalable data pipelines. Integrate external systems with proper authentication, pagination, and error handling. Support and enhance existing pipelines for reliability and performance. Migrate legacy and Python-based pipelines into modern data platforms. Build and maintain data models and analytics-ready datasets. Develop transformations and calculations for reporting and business intelligence. Support analytics outputs using BI tools. Implement data quality checks and governance best practices. Troubleshoot data and pipeline issues and provide long-term solutions. Optimize performance, cost, and reliability of data workflows. Collaborate with cross-functional teams to translate business requirements into technical solutions. Maintain documentation, data lineage, and change management processes. Should Have:
Experience with Power BI or similar visualization tools. Familiarity with cloud-based data platforms and modern data architectures. Experience with observability and monitoring tools. Skills:
Data engineering and pipeline development. Python, SQL, and PySpark. Data modeling and analytics. PI integration and data ingestion. Data governance and quality management. Performance optimization and troubleshooting. Qualification And Education:
Bachelor's degree in Computer Science, Information Technology, or a related field. Equivalent practical experience in data engineering roles.
Sprachkenntnisse
- English
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