Databricks Developer
Databricks Developer job. Build your future now, not later


Members-only role
Databricks Developer job
What we are looking for:
- 5+ years of proven experience as a Databricks Developer with a strong portfolio of successful big data projects.
- In-depth knowledge of Apache Spark, Databricks, and data engineering best practices.
- Proficiency in Scala, Python, or other relevant programming languages for Spark development.
- Experience with version control systems (e.g., Git) and agile development methodologies.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Databricks Development: Design, develop, and optimise data processing workflows and analytics solutions using Databricks.
- Leverage Apache Spark within Databricks to implement data transformations, aggregations, and machine learning workflows.
- Build robust and scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources.
- Configure and manage Databricks clusters to ensure optimal performance, scalability, and reliability.
- Identify and address performance bottlenecks, optimise Spark jobs, and implement best practices to enhance system performance.
- Collaborate with other development teams to integrate Databricks-based solutions with existing systems and applications.
- Implement security measures and best practices to protect sensitive data processed within Databricks.
- Establish monitoring and alerting systems to proactively identify and address issues within Databricks environments.
- Create and maintain technical documentation, including architecture diagrams, data flow diagrams, and best practices for Databricks development and administration.
- Provide guidance and training to junior developers and team members, sharing your expertise in Databricks development.
What we offer
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