Hybrid Data Engineer
Job Description & How to Apply Below
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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