Data Engineer

  • Location: Toronto
  • Remote: Hybrid
  • Type: Contract
  • Job #35187

Our confidential banking client is seeking a Data Engineer to build, optimize, and support cloud-based data platforms, ingestion pipelines, and real-time data processing solutions. This is a HYBRID contract in Toronto

Responsibilities

  • Develop and maintain scalable data ingestion and transformation pipelines
  • Support real-time data streaming and event-driven architectures
  • Build and optimize data workflows within AWS environments
  • Monitor, troubleshoot, and support production data platforms
  • Implement data quality, security, and governance controls
  • Collaborate with architects, analysts, and business teams

Required Skills

  • Strong experience with Amazon S3
  • Hands-on experience with AWS Glue and Apache Spark
  • Experience with Apache Kafka and streaming data architectures
  • Expertise with Amazon Redshift and Amazon Athena
  • Experience with AWS Step Functions and/or Apache Airflow
  • Strong understanding of AWS IAM, Lake Formation, and data security
  • Experience developing and supporting enterprise data pipelines
  • Strong performance tuning and troubleshooting skills

Preferred

  • Banking or financial services experience
  • Knowledge of data governance and regulatory environments
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