25 Sep
|
Pacer Group
|
Toronto
25 Sep
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.
EEOC Compliance:
We are an equal chance 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