Senior Data Engineer | Databricks Optimization Specialist (f/m/div.)
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We are a dynamic team responsible for managing the central cloud infrastructure, including the Databricks platform. Our mission is to empower teams, ensuring high-performance, cost-effective solutions that optimize workloads and improve efficiency. We are looking for a Senior Data Engineer with a strong focus on Databricks optimization to help users fine-tune their workloads and contribute to cloud infrastructure enhancements.
As a Senior Data Engineer – Databricks Optimization Specialist, you will play a crucial role in optimizing Databricks workloads, ensuring high performance while minimizing costs and resource usage. You will work closely with users to enhance Spark query performance, fine-tune resource allocation, and implement best practices in Databricks. Proficiency in PySpark, Spark optimization, and query tuning is essential. Knowledge of Azure cloud services is a plus.
Key Responsibilities
Optimize Databricks workloads to improve efficiency and reduce costs.
Analyze and fine-tune Spark queries for optimal performance.
Provide best practices for Databricks resource allocation and cluster management.
Troubleshoot and resolve performance bottlenecks.
Implement cost-saving measures and automate workload management.
Develop and document performance optimization strategies.
Stay updated with the latest Databricks and Spark advancements and recommend improvements.
Support cloud infrastructure projects and advise on Databricks-Azure integrations.
Assist in cloud infrastructure implementation and support various use cases.
Nasıl birini arıyoruz? Education:
Degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
Experience:
Proven experience as a Data Engineer, with a strong focus on Databricks optimization.
Hands-on expertise in PySpark and Spark performance tuning.
Experience in query performance tuning and workload optimization.
Knowledge of cost-saving techniques within Databricks.
Know-how:
Deep understanding of distributed computing and big data processing.
Expertise in Databricks resource allocation, cluster management, and automation.
Familiarity with Azure cloud services is a plus.
Languages:
Fluency in English (written and spoken) is required.
Additional languages are a plus.
Working Style and Methods:
Strong problem-solving skills and ability to troubleshoot performance bottlenecks.
Ability to work independently while collaborating with teams.
Proactive in staying updated with Databricks and Spark advancements.
Personality:
High level of initiative, ownership, and autonomy.
Excellent communication and collaboration skills to support users effectively.
Passion for efficiency, optimization, and continuous improvement.
Why Join Us?
Work in a fast-paced, innovative environment.
Opportunity to influence and optimize a critical data platform.
Collaborate with a passionate team focused on data and technology.
Enjoy a competitive salary and benefits package.
Access continuous learning and professional growth opportunities.
Education:
Degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
Experience:
Proven experience as a Data Engineer, with a strong focus on Databricks optimization.
Hands-on expertise in PySpark and Spark performance tuning.
Experience in query performance tuning and workload optimization.
Knowledge of cost-saving techniques within Databricks.
Know-how:
Deep understanding of distributed computing and big data processing.
Expertise in Databricks resource allocation, cluster management, and automation.
Familiarity with Azure cloud services is a plus.
Languages:
Fluency in English (written and spoken) is required.
Additional languages are a plus.
Working Style and Methods:
Strong problem-solving skills and ability to troubleshoot performance bottlenecks.
Ability to work independently while collaborating with teams.
Proactive in staying updated with Databricks and Spark advancements.
Personality:
High level of initiative, ownership, and autonomy.
Excellent communication and collaboration skills to support users effectively.
Passion for efficiency, optimization, and continuous improvement.
Why Join Us?
Work in a fast-paced, innovative environment.
Opportunity to influence and optimize a critical data platform.
Collaborate with a passionate team focused on data and technology.
Enjoy a competitive salary and benefits package.
Access continuous learning and professional growth opportunities.
İletişim ve ek bilgiler
Work #LikeABosch includes:
⚖️ Flexible work conditions
🔀 Hybrid work system
🌐 Exchange with colleagues around the world
🧑⚕️ Health insurance and medical office on site (general clinic)
📚 Training opportunities (p.e., technical training, foreign languages training) & certifications
📈 Opportunities for career progression and continuous professional development
💲 Access to great discounts in partnerships and Bosch
🏋️ Sports and health related activities (gym)
🚉 Great access to public transports
🅿️ Free parking lot
🍽️ Canteen
Success stories don´t just happen. They are made...
Make it happen. We are looking forward to your application!
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Çalışan indirimleri
Esnek ve mobil çalışma
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Çeşitli sağlık ve spor faaliyetleri yelpazesi
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