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Job Description & How to Apply Below
Reporting directly to the Team Lead, this role involves building scalable ETL/ELT pipelines and optimizing data processes. Your contributions will support high-quality data outputs for advanced analytics, crucial for informed business decisions.
Key Responsibilities:
• Design and maintain workflows using Databricks and Delta Lake
• Integrate large datasets into unified analytics-ready outputs
• Conduct data validation and quality checks
• Develop parameterized ADF pipelines and trigger Databricks jobs
• Collaborate closely with data teams to deliver insights
Requirements:
• 5+ years in data engineering or big data development
• Extensive experience with Databricks and Spark (PySpark/SQL)
• Familiarity with Azure Data Factory, ADLS, and SQL
• Proficient in Python for data transformation tasks
• Knowledge of CI/CD pipelines and version control
Drive data-driven insights and analytics with your Databricks expertise at Seaspan Corporation.
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