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 efficient 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