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Senior Databricks Developer
Job Description & How to Apply Below
Join Seaspan Corporation as a Senior Databricks Developer driving innovative data solutions on Databricks using Apache Spark. This position will focus on creating scalable data products for analytics and reporting.
We seek an experienced professional with over 5 years in data engineering, skilled in SQL, PySpark, and data lakehouse architecture. You will design, build, and optimize data pipelines, ensuring quality and performance are met in all datasets. The role requires strong collaboration with Data Scientists and Analysts to deliver trusted data outputs.
Key Responsibilities:
• Design and implement data ingestion pipelines for APIs
• Develop and optimize ETL/ELT workflows in Azure
• Transform datasets into analytics-ready formats
• Create parameterized ADF pipelines and manage orchestration
• Enforce best practices in data quality and governance
Requirements:
• 5+ years in data engineering or big data development
• Bachelor's degree or equivalent experience
• Hands-on experience with Databricks and Spark
• Proven track record with Azure Data Factory
• Familiarity with CI/CD and Agile methodologies
Maximize your data engineering skills and contribute to impactful projects at Seaspan Corporation.
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Position Requirements
10+ Years
work experience
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