As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines and data infrastructure that support analytics, reporting, and data science initiatives.
Requirements
- Architect, Design, and Deliver Scalable Data Pipelines
- Lead the design and implementation of scalable ingestion and transformation frameworks on Azure
- Build, standardize, and maintain robust ETL/ELT pipelines using Azure Data Factory and Azure Databricks
- Own complex integrations across on-premises systems, cloud storage, APIs, and streaming platforms
- Develop, review, and optimize Databricks notebooks and workflows using PySpark and SQL
- Implement and govern Delta Lake patterns for efficient storage, versioning, and ACID transactions
- Define Data Architecture, Modeling Standards, and Lakehouse Patterns
- Establish Data Quality, Observability, and Governance Controls
- Drive Performance Engineering, Monitoring, and Incident Resolution
- Provide Technical Leadership and Stakeholder Partnership
- Engineer Secure-by-Design Data Solutions and Ensure Compliance
- Advance Best Practices, Documentation, and Mentorship
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