Opportunity Description
Advance your career as a Databricks Engineer with a hybrid opportunity in Toronto. You will design, develop, and optimize scalable data solutions while collaborating with teams to ensure data efficiency.
This role seeks a talented developer with hands-on experience in Databricks and Apache Spark, focusing on building ETL pipelines and managing database schemas. Strong knowledge of data lifecycle management and document indexing is essential for successful candidates.
Key Responsibilities:
• Design database schemas for Operational Data Store (ODS)
• Build and maintain efficient ETL pipelines with Databricks
• Define and implement robust data contracts
• Optimize data archiving and retrieval strategies
• Collaborate with teams for data requirement analysis
Requirements:
• 3+ years in Databricks/Data Engineering
• Strong experience with Delta Lake architecture
• Proficient in SQL and data engineering languages
• Understanding of data governance principl...
This role seeks a talented developer with hands-on experience in Databricks and Apache Spark, focusing on building ETL pipelines and managing database schemas. Strong knowledge of data lifecycle management and document indexing is essential for successful candidates.
Key Responsibilities:
• Design database schemas for Operational Data Store (ODS)
• Build and maintain efficient ETL pipelines with Databricks
• Define and implement robust data contracts
• Optimize data archiving and retrieval strategies
• Collaborate with teams for data requirement analysis
Requirements:
• 3+ years in Databricks/Data Engineering
• Strong experience with Delta Lake architecture
• Proficient in SQL and data engineering languages
• Understanding of data governance principl...
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