Myticas Consulting
Data Engineer (35187)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (35187) contract in Toronto for 6 months, offering competitive pay. Key skills include AWS services, Apache Kafka, and data governance. Banking or financial services experience is preferred. Hybrid work arrangement available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Toronto, OH
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🧠 - Skills detailed
#Apache Kafka #Redshift #Kafka (Apache Kafka) #AWS (Amazon Web Services) #Data Processing #Data Security #Data Governance #AWS IAM (AWS Identity and Access Management) #Scala #"ETL (Extract #Transform #Load)" #Cloud #Data Pipeline #Data Engineering #Data Architecture #Apache Airflow #Apache Spark #Amazon Redshift #Data Ingestion #Airflow #Data Quality #AWS Glue #Spark (Apache Spark) #IAM (Identity and Access Management) #Athena #Security #S3 (Amazon Simple Storage Service)
Role description
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
, Dean Theodossiou
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
, Dean Theodossiou
