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Datastage ETL
LinkedIn Recruiter Post
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Principal Databricks Data Engineer
Posted via LinkedIn Recruiter (not a company profile)
Posted 6 days ago
About the role
- Hiring a Principal Databricks Data Engineer in Toronto, ON. Requires 12-18 years of experience with Databricks, Spark, and Cloudera modernization.
Responsibilities
- We are hiring a Principal Databricks Data Engineer for a full-time permanent role in Toronto, ON. The ideal candidate has 12-18 years of overall data engineering experience, 8+ years in enterprise Data Warehouse and Data Lake platforms, and 5+ years of hands-on experience with Databricks and Spark at scale. Responsibilities include modernizing legacy Cloudera platforms (CDH/CDP, Hive, HBase, Impala, Spark) to Databricks Lakehouse, redesigning ingestion, transformation, and consumption patterns from HDFS-based architecture to cloud object storage and Delta Lake, and refactoring legacy Hive/Impala logic into PySpark and Spark SQL ELT pipelines.
Requirements
- 12–18 years of overall data engineering experience; 8+ years of experience in enterprise Data Warehouse and Data Lake platforms; 5+ years of hands-on experience with Databricks and Spark at scale; strong experience in modernizing legacy Cloudera platforms (CDH/CDP, Hive, HBase, Impala, Spark) to Databricks Lakehouse; experience redesigning ingestion, transformation, and consumption patterns from HDFS-based architecture to cloud object storage and Delta Lake; experience refactoring legacy Hive/Impala logic into PySpark and Spark SQL ELT pipelines.
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No Education Requirement
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