Role OverviewSeeking a hands-on Lead Data Engineer to design, build, and lead scalable data platforms and real-time streaming solutions.
What You Will Do
Design and manage production-grade data pipelines and platforms, build real-time streaming and event-driven data solutions, develop data services supporting APIs, microservices, analytics, and ML/AI.
Why It Might Be a Fit
Must have strong Databricks, Spark, Delta Lake, Python/PySpark, SQL, and Azure experience, along with technical leadership and stakeholder management skills.
Requirements
- 10+ years of data/software engineering experience
- 7+ years building production data pipelines and platforms
- 5+ years with Databricks, Spark, Delta Lake, SQL, and Python/PySpark
- 3+ years in technical leadership or team mentoring
- Strong Azure cloud and real-time streaming experience
- Experience with CI/CD, DevOps, APIs, microservices, and data orchestration
- Strong knowledge of data quality, governance, observability, and production support
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