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. EEOC Compliance:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
📌 Sr Databricks Data Engineer (Toronto)
🏢 Pacer Group
📍 Toronto
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