- Background & Leadership:
- Advanced degree (Master’s or equivalent) in Computer Science, Engineering, or a related technical discipline.
- 10+ years of progressive software/data engineering experience, demonstrating strong technical leadership and collaborative team-first mindset.
- Core Data Engineering & Platform Stack:
- 5+ years of deep, hands-on expertise within the Databricks ecosystem, leveraging Python, Apache Spark, Delta Lake, and Delta Live Tables (DLT).
- Proven track record architecting enterprise Big Data solutions across Data Warehouses, Data Lakes, and Lakehouse architectures.
- Extensive experience engineering high-throughput, fault-tolerant pipelines handling massive datasets across both batch and real-time streaming workflows.
- System Design & Non-Functional Requirements (NFRs):
- Strong architectural background with an emphasis on low-latency processing, high data availability, and horizontal scalability.
- Solid database engineering skills across relational and cloud engines (SQL, PostgreSQL, Azure SQL, PL/SQL).
- Cloud, Automation & DevOps:
- Deep familiarity with cloud platforms (preferably Azure) combined with strong Linux/Unix environments and shell scripting.
- Production experience establishing robust CI/CD workflows and automated test suites using GitLab and industry-standard tools.
- Engineering Practices & Innovation:
- Practical adoption of AI-assisted engineering tools throughout the modern SDLC to accelerate delivery.
- Rapid prototyping mindset—ability to quickly validate PoCs and systematically harden them into production-grade systems following clean code principles.
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