Role: Data Engineer

Location & work model: Toronto, ON - Hybrid (2-3 days onsite per week)

Duration: 5 Months

Qualifications

• Proven experience with cloud storage solutions, specifically Amazon S3.
• Solid expertise in data processing frameworks such as AWS Glue and Apache Spark.
• Hands-on experience with real-time data streaming technologies, particularly Apache Kafka.
• Proficiency in data warehousing solutions, especially Amazon Redshift.
• Experience with workflow orchestration tools like AWS Step Functions and Apache Airflow.
• Skilled in querying large datasets using Amazon Athena.
• Solid understanding of data security and access management using AWS IAM and Lake Formation.
• Demonstrated ability in developing and maintaining data ingestion pipelines.
• Strong focus on data quality assurance and performance tuning of data workflows.
• Knowledge of data governance best practice...