Data Engineer jobs in Canada

We are seeking a highly skilled Big Data Engineer with 8 years of experience in data migration, data setup, and data systems development. The ideal candidate will have deep expertise in Apache Spark, SQL, and Java (with Scala) for large-scale data processing, reporting, and system development. Strong knowledge of data architecture, semantic layer development, and experience in regression testing and cutover activities for enterprise-level migrations is essential.

• Design, develop, and optimize Spark-based ETL pipelines for large-scale data processing and analytics.
• Utilize Spark SQL, DataFrames, RDDs, and Streaming for efficient data transformations.
• Tune Spark jobs for performance, including memory management, partitioning, and execution plans.
• Implement real-time and batch data processing using Spark Streaming or Structured Streaming.

• Write and optimize complex SQL queries for data extraction, transformation, and aggregation.
• Perform query performance tuning, indexing, and partitioning for efficient execution.
• Develop stored procedures, functions, and views to support data operations.
• Ensure data consistency, integrity, and security across relational databases.

• Develop backend services and data processing applications using Java and Scala.
• Optimize JVM performance, including memory management and garbage collection, for Spark workloads.
• Leverage Scala’s functional programming capabilities for efficient data transformations.
• Implement multithreading, concurrency, and parallel processing in Java for high-performance systems.

• 8+ years of experience in data engineering, with a focus on big data technologies.
• Strong proficiency in Apache Spark, SQL, and Java/Scala.
• Experience in data migration, data setup, and semantic layer development.
• Solid understanding of data architecture, ETL frameworks, and data governance.
• Hands-on experience with regression testing and cutover planning in large-scale data migrations.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

• Experience with Hadoop ecosystem tools (Hive, HDFS, Oozie, etc.).
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Exposure to CI/CD pipelines and DevOps practices.
• Relevant certifications in Big Data or Cloud technologies.