Job Description
Iris's Fortune 100 direct client is looking for Big Data Engineer. Please find below Job description and share me your updated resume at .
Position: Big Data Engineer
Location: Toronto Ontario
Key Responsibilities:
Develop and maintain scalable data processing solutions using Scala, Hadoop, Spark, and Hive.
Design and optimize complex data pipelines and ETL workflows across distributed systems.
Implement and manage high-performance data models and architectures in Snowflake.
Troubleshoot, debug, and optimize large-scale data applications for performance and reliability.
Collaborate with data engineers, data scientists, and cross-functional teams to deliver end‑to‑end solutions.
Ensure data quality, accuracy, and consistency across all processing layers.
Deploy, monitor, and maintain applications in Kubernetes/OCP4 or other cloud-native environments (nice to have).
Automate operational tasks and workflow management using shell scripting (nice to have).<...
Position: Big Data Engineer
Location: Toronto Ontario
Key Responsibilities:
Develop and maintain scalable data processing solutions using Scala, Hadoop, Spark, and Hive.
Design and optimize complex data pipelines and ETL workflows across distributed systems.
Implement and manage high-performance data models and architectures in Snowflake.
Troubleshoot, debug, and optimize large-scale data applications for performance and reliability.
Collaborate with data engineers, data scientists, and cross-functional teams to deliver end‑to‑end solutions.
Ensure data quality, accuracy, and consistency across all processing layers.
Deploy, monitor, and maintain applications in Kubernetes/OCP4 or other cloud-native environments (nice to have).
Automate operational tasks and workflow management using shell scripting (nice to have).<...
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