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Principal Databricks Data Engineer
Posted via LinkedIn Recruiter (not a company profile)
Posted last week
About the role
- Hiring a Principal Databricks Data Engineer in Toronto, ON for a full-time permanent role. Requires 12-18 years of data engineering experience and expertise in Databricks and Spark.
Responsibilities
- We are hiring a Principal Databricks Data Engineer for a full-time permanent role in Toronto, ON. The role involves modernizing legacy Cloudera platforms to Databricks Lakehouse, redesigning ingestion and transformation patterns, refactoring legacy Hive/Impala logic into PySpark and Spark SQL ELT pipelines, ensuring data reconciliation and audit integrity during migration, and designing enterprise Data Warehouse and Lakehouse architectures.
Requirements
- 12–18 years of overall data engineering experience; 8+ years in enterprise Data Warehouse and Data Lake platforms; 5+ years hands-on with Databricks and Spark at scale; strong experience in modernizing legacy Cloudera platforms (CDH/CDP, Hive, HBase, Impala, Spark) to Databricks Lakehouse; ability to redesign ingestion, transformation, and consumption patterns from HDFS-based architecture to cloud object storage and Delta Lake; refactor legacy Hive/Impala logic into PySpark and Spark SQL ELT pipelines; ensure data reconciliation, audit integrity, and consistency during migration; design and govern enterprise Data Warehouse and Data Lake/Lakehouse architectures.
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