Senior Data Engineer: Hybrid Cloud Lakehouse & Azure
FSP
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Benefits offered by this job
Job summary
FSP is seeking a Senior Data Engineer to join our Data & AI function. You will design and deliver enterprise-scale data solutions across cloud platforms, including Microsoft Fabric and Azure Databricks, using PySpark, Delta Live Tables and Databricks Workflows.
The role emphasizes leadership, mentoring, and technical design across multiple projects. You will work with architects and consultants to enable high-quality data products, implement Medallion architecture, and build batch and streaming
Qualifications
- Extensive experience designing and delivering enterprise-scale data solutions.
- Strong hands-on Azure Databricks and PySpark experience.
- Experience with Medallion Architecture and Lakehouse patterns.
- Proficiency in Python and SQL development.
- Experience with CI/CD, IaC and DevOps practices.
Responsibilities
- Lead and mentor the Data Engineering team and drive technical design.
- Design data solutions from customer requirements to high-quality outcomes.
- Develop cloud-native data products and data pipelines (batch/streaming).
- Architect cloud-based data lake patterns and data integration.
- Provide guidance through prototyping, testing, and deployment of data products.
- Contribute to development standards and best practices.
Skills
Tools
Job description
FSP is seeking a Senior Data Engineer to join our Data & AI function. You will design and deliver enterprise-scale data solutions across cloud platforms, including Microsoft Fabric and Azure Databricks, using PySpark, Delta Live Tables and Databricks Workflows.
The role emphasizes leadership, mentoring, and technical design across multiple projects. You will work with architects and consultants to enable high-quality data products, implement Medallion architecture, and build batch and streaming
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