
Data Engineering Team Lead for Global Data Lake and Analytics
1 day ago
We are seeking a highly experienced Data Engineer to lead our team in building a next-generation Global Data Lake and Analytics platform.
This role involves designing and delivering data models, which power business intelligence initiatives, dashboards, syndicated reporting, and ad-hoc data exploratory canvases. You will work closely with data architects on logical data models and physical database designs optimized for performance, availability, and reliability.
Key responsibilities include:
- Tuning and optimization of backend and frontend data operations
- Serving as a query tuning and optimization technical expert, providing feedback to the team
- Designing and developing ETL and master data management processes
- Scripting and automation to support development, QA, and production database environments and deployments to production
- Defining and helping enforce data governance and security policy
The ideal candidate will have strong experience with Hadoop, Hive, Scala, Spark, SQL, ETL, Linux, and DevOps. Additionally, they should be proficient in Agile and Scrum methodologies and have excellent leadership skills to manage a small team of Big Data engineers.
As a member of our team, you will have the opportunity to work on challenging projects, collaborate with international teams, and contribute to the growth and development of our organization.
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