Databricks Engineer

Qualifications
• Design, develop, test, and maintain scalable data pipelines using Databricks.
• Develop ETL/ELT processes to ingest and transform data from multiple enterprise data sources.
• Build and maintain data-processing workloads using Apache Spark and PySpark.
• Develop and optimize complex SQL queries and data transformations.
• Work with Data Lake and Mákaph to architecture to create scalable data platforms.
• Create and maintain Databricks notebooks, workflows, jobs, and reusable components.
• Integrate Databricks with databases, APIs, cloud storage, applications, and other enterprise systems.
• Monitor production data pipelines and resolve failures, performance issues, and data quality problems.
• Optimize ETL processes, build and improve data pipelines and data quality standards.
• Identify and troubleshoot data pipeline bottlenecks and improve performance.
• Collaborate with Data Analysts, BI teams, application teams, and other stakeholders to translate business requirements into technical data solutions.
• Participate in code reviews, testing, deployment, and continuous improvement initiatives.
• working with teams to gather and audit inventory

Role Details (from caption)
• Full-Time | Fully Remote
• PH-based candidates only
• Fixed PST schedule
• Must have own equipment & stable internet

Interested? Let’s talk!
Send your CV to: [email protected]
CC: [email protected]
Subject: CV | Last Name, First Name | Databricks Engineer | Assisted by Rhie