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Databricks Engineer
4 months ago
Role : Databricks Engineer.
Experience Required : 6 To 10 years.
Location : Experience Required : ML Engineer with STRONG Databricks experience, Spark, Python, SQL
Are you a passionate Databricks engineer looking to join a top MNC and revolutionize the way data is processed and analyzed? We are searching for a talented individual to design, develop, and deploy large-scale data processing pipelines on Databricks to support our enterprise-wide business intelligence (BI) and data science :
- Design, develop, and deploy robust and scalable data processing pipelines using Databricks, Spark, and other relevant technologies.
- Optimize Databricks clusters for performance, cost-efficiency, and resource utilization.
- Monitor cluster health, performance metrics, and resource usage, making adjustments as needed.
- Collaborate with data scientists and analysts to understand data requirements and translate them into technical solutions.
- Develop and implement MLOps frameworks for model development, training, deployment, and monitoring (if applicable).
- Act as a Databricks champion within the team, providing training and mentorship on effective Databricks usage.
- Partner with data and platform architects to define the data platform roadmap and ensure alignment with business goals.
- Stay up-to-date on the latest advancements in Databricks and big data technologies.
(ref:hirist.tech)