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Experienced Databricks Developer
Job Description & How to Apply Below
Join Seaspan Corporation as an experienced Databricks Developer focused on building scalable data pipelines and leveraging Apache Spark for enterprise analytics. This role emphasizes strong knowledge of data transformation and integration.
The ideal candidate will possess over 5 years in data engineering, working with Databricks, PySpark, and SQL to develop efficient ETL/ELT processes. You will collaborate closely with data teams to create unified datasets that enhance analytics and reporting. A deep understanding of Delta Lake and Azure Data Factory is essential to succeed in this impactful role.
Key Responsibilities:
• Design and maintain scalable data pipelines in Databricks
• Develop ETL/ELT pipelines for varied data types
• Optimize Spark jobs and manage Delta Lake performance
• Implement data ingestion pipelines for RESTful APIs
• Collaborate with Data Scientists and Analysts for quality datasets
Requirements:
• 5+ years in data engineering or big data development
• Bachelor's degree or equivalent experience
• Strong hands-on Databricks and Apache Spark experience
• Proven Azure Data Factory usage
• Familiarity with Git and Agile methodologies
Utilize your expertise in data engineering and cloud technologies to drive innovative data solutions for Seaspan Corporation.
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