Data Engineer
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Summary
Soroc Technology seeks a Data Engineer in Toronto to design, develop, and support enterprise-scale data platforms — building batch and real-time pipelines, Kafka streaming apps, and ETL/ELT workflows using PySpark, Apache Spark, Hadoop, Apache NiFi, and SQL, with a focus on performance tuning and data governance.
An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands‑on experience in PySpark, Apache Spark, Kafka, Hadoop ecosystem components, and Apache NiFi, with a strong understanding of data ingestion, transformation, and real‑time processing frameworks.
Key Responsibilities
- Design, develop, and optimize scalable data pipelines using PySpark, Spark, Hadoop, and Apache NiFi.
- Build and maintain batch and real‑time data processing solutions.
- Develop and support Kafka‑based streaming applications and event‑driven architectures.
- Create and optimize ETL/ELT workflows for large‑scale structured and unstructured datasets.
- Develop complex SQL queries for data extraction, transformation, validation, and troubleshooting.
- Implement data ingestion solutions from databases, APIs, files, and streaming sources.
- Monitor, troubleshoot, and enhance the performance of Spark jobs and data pipelines.
- Collaborate with architects, business analysts, and development teams to deliver high‑quality data solutions.
- Support platform upgrades, deployments, testing, certification, and production releases.
- Ensure data quality, governance, security, and operational excellence across data platforms.
Mandatory Skills
- PySpark
- Apache Spark (Spark SQL, DataFrames)
- Hadoop Ecosystem (HDFS, Hive, YARN)
- SQL
- Python
Preferred Skills
- Spark Streaming
- Hive
- Scala
- Jenkins, Bitbucket, Git
- JIRA, Confluence
- Data Warehousing concepts and Dimensional Modeling