Mastering Data Engineering Excellence
4 days ago
We are seeking an accomplished Senior Data Engineering Leader to define the architecture of our Data Warehouse team, guide senior engineers and engage directly with clients. This position involves building a holistic roadmap for our BNL Data Warehouse offerings, solving complex data modeling challenges, ensuring smooth delivery of features, and applying modern marketing data suites.
This is a pivotal role in driving large-scale data initiatives as part of a fast-growing, innovative team. Key responsibilities include:
- Leading and mentoring a team of 4-5 Sr. Engineers
- Driving client communication, requirement gathering, and roadmap planning
- Identifying risks and providing mitigation strategies
- Conducting PR reviews and guiding best practices
The ideal candidate will have strong coding expertise in Python, JVM, and Shell scripting, with production-grade experience. Additionally, they should have 5+ years in cloud-native, data-intensive applications with mandatory AWS expertise, and hands-on experience with Databricks and dbt.
The successful candidate will also possess:
- Expertise in Airflow (workflow orchestration)
- Strong experience building and maintaining Spark applications
- Deep understanding of file formats: Parquet, Delta Lake, OTFs
- Proficiency in building CI/CD pipelines (GitHub Actions, Jenkins, or ArgoCD)
- Solid knowledge of unit testing and test automation frameworks
This role requires proposing and reviewing architecture, solving complex data models, and leading a collaborative, innovative, and growth-driven culture. The ideal candidate will be a proactive, business-value-oriented leader with a passion for data engineering.
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