Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Designated Support Engineer (Apache Spark): Managing large strategic accounts and resolving complex big data performance bottlenecks with an accent on Apache Spark internals and Data Engineering best practices. Focus on optimizing ETL/ELT pipelines, troubleshooting distributed computing issues, and collaborating with engineering teams to resolve critical customer cases.
Location: Amsterdam, Netherlands
Company
Databricks is a leading data and AI company and the creator of the Lakehouse architecture, Apache Spark, Delta Lake, and MLflow.
What you will do
- Manage large strategic accounts to provide a high-touch, proactive support experience.
- Deep-dive into complex Apache Spark and Data Engineering issues using Spark UI, thread dumps, and logs.
- Advise customers on Data Engineering best practices, ETL/ELT optimization, and Lakehouse architecture.
- Coordinate with Engineering and Product teams to expedite the resolution of critical support tickets.
- Conduct regular case reviews to identify trends and proactive optimization opportunities.
- Champion customer needs and drive self-sufficiency through guidance on support tools.
Requirements
- Minimum 3 years of experience in Data Engineering, building and maintaining large-scale data pipelines.
- Minimum 3 years of experience designing and sustaining Python, Java, or Scala-based applications.
- Deep architectural knowledge of Apache Spark internals (Drivers, Executors, DAGs, Catalyst, Tungsten).
- Proven track record of troubleshooting Spark issues such as data skew and OOM errors.
- Strong analytical skills applied to distributed big data computing environments.
- Excellent communication skills for translating complex technical ideas to non-technical stakeholders.
Culture & Benefits
- Comprehensive benefits and perks tailored to the employee's region.
- Inclusive culture committed to diversity and equal employment opportunity.
- Opportunity to work with a platform relied upon by over 50% of the Fortune 500.
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