Hybrid Data Engineer

Elevate your career as a Data Engineer in Toronto with a hybrid work model at a leading financial services firm. Leverage your expertise in cloud technologies and data processing frameworks.

This position, lasting 5 months, seeks a skilled Data Engineer proficient in Amazon S3 and AWS Glue. You will work with real-time data streaming technologies such as Apache Kafka while ensuring high standards of data quality and governance. Join a team dedicated to developing robust data pipelines and enhancing the overall data architecture.

Key Responsibilities:

• Develop and maintain data ingestion pipelines

• Process data with AWS Glue and Apache Spark

• Implement real-time data streaming with Apache Kafka

• Ensure data security using AWS IAM and Lake Formation

• Monitor and troubleshoot data pipelines

Requirements:

• Experience with cloud storage solutions, notably Amazon S3

• Proficiency in data warehousing using Amazon Redshift

• Strong understanding of data workflows and orchestration tools

• Knowledge of data governance in financial services

• Ability to perform data quality assurance and performance tuning

Bring your data engineering skills to spark data-driven insights in Toronto's dynamic financial sector.
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