03 Oct
|
Pacer Group
|
Toronto
03 Oct
Pacer Group
Toronto
Hands-on experience with Databricks and Apache Spark at scale. Lead modernization of legacy Cloudera (CDH/CDP, Hive, HBase, Impala, Spark) platforms to Databricks Lakehouse. Design and implement scalable Data Warehouse, Data Lake/Lakehouse, Delta Lake, and Medallion architectures .
Develop high-volume PySpark/Spark SQL ELT pipelines and optimize Databricks workloads for performance and cost. Robust experience with Finance and Risk data models , including General Ledger, accounting, credit, liquidity, market risk, and regulatory reporting.
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📌 Sr Databricks Data Engineer (Toronto)
🏢 Pacer Group
📍 Toronto