Data Engineer
Sun West Bank
Job Title: Data Engineer Reports to: N/A About the Role The Data Engineer designs, builds, and optimizes Sunwest Bank's Azure-based data infrastructure to support advanced analytics, AI-driven workflows, and enterprise reporting. This role focuses on developing secure, scalable, and high-performance data pipelines across Microsoft Azure services, including Blob Storage, Microsoft Fabric, and OneLake. The Data Engineer plays a critical role in enabling AI-powered document processing by orchestrating ingestion, tagging, extraction, and integration of structured and unstructured data. Work Details Schedule: Monday - Friday
Work Location: Onsite
Travel: None What You'll Do
Work Location: Onsite
Travel: None What You'll Do
- Design and optimize Sunwest Bank's enterprise data architecture using Microsoft Azure technologies.
- Build and maintain scalable data pipelines across Azure Blob Storage, Microsoft Fabric, and OneLake.
- Develop orchestration engines to manage document ingestion, tagging, chunking, and processing workflows.
- Implement automated data-extraction pipelines to derive structured insights from documents.
- Integrate AI/ML services with databases to combine extracted document insights with operational and enterprise data.
- Ensure data pipelines are secure, efficient, resilient, and optimized for AI-driven applications.
- Support enterprise analytics and reporting initiatives through well-structured data models and lakehouse architecture.
- 5-10 years of experience in data engineering with a proven ability to build and maintain scalable data pipelines and ETL/ELT processes.
- Hands-on experience with Microsoft Azure services, particularly Blob Storage, Microsoft Fabric, and OneLake (or similar lakehouse platforms).
- Strong development skills using Python, PySpark, and SQL.
- Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or Apache Spark.
- Experience integrating AI/ML services (e.g., OCR, NLP, Azure Cognitive Services) for document processing and insight extraction.
- Strong knowledge of relational and NoSQL databases, including schema design and performance optimization.
- Direct experience with Microsoft Fabric and OneLake; familiarity with Azure Synapse or Snowflake is beneficial.
- Background in unstructured document processing (PDFs, images, text) using OCR and text-extraction tools.
- Understanding of NLP or AI/ML techniques for document classification and entity extraction.
- Experience with data governance, metadata management, and security controls-particularly in regulated environments.
- Comfort collaborating with data scientists and engineers to deploy AI models; familiarity with Agile methodologies and version control tools.
- Team Culture
- Growth Opportunities
- Benefits or Perks
Vacancy posted 3 days ago
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