Take on a vital Senior Data Engineer role at Pacer Group, specializing in Databricks and Apache Spark. Spearhead the migration of legacy systems to a robust Data Lakehouse architecture. This position involves hands-on work to modernize Cloudera technologies, including transforming existing platforms to Databricks Lakehouse.

You'll focus on designing scalable architectures and crafting high-volume PySpark and Spark SQL ELT pipelines while optimizing for performance and cost efficiency. Key Responsibilities:
Implement Databricks Lakehouse from legacy Cloudera systems
Create scalable architectures for Data Warehouses and Delta Lakes
Develop and optimize PySpark/Spark SQL ELT data pipelines
Enhance performance and cost-effectiveness of workloads
Work with complex Finance and Risk data models for reporting Requirements:
Proven hands-on experience with Databricks and Apache Spark
Expertise in Cloudera ecosystems (CDH/CDP, Hive, HBase)
Knowledge of Finance and Risk data frameworks
Ability to design productive data architectures
Robust skills in PySpark and Spark SQL Drive innovation at Pacer Group by utilizing your Databricks and Apache Spark expertise in a pivotal engineering role.

📌 Databricks Spark Data Engineer Opening Toronto
🏢 Pacer Group
📍 Toronto