Myticas Consulting
Data Engineer (35187)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (35187) contract in Toronto, hybrid, with a pay rate of "unknown." Key skills include AWS (S3, Glue, Redshift, Athena), Apache Spark, Kafka, and data governance. Banking or financial services experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Toronto, OH
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #Data Processing #Data Ingestion #Redshift #Athena #Apache Airflow #Airflow #Amazon Redshift #Data Pipeline #Data Architecture #Data Security #IAM (Identity and Access Management) #Data Governance #Data Engineering #S3 (Amazon Simple Storage Service) #Apache Kafka #Security #Spark (Apache Spark) #Kafka (Apache Kafka) #Apache Spark #AWS Glue #Cloud #Scala #AWS IAM (AWS Identity and Access Management) #Data Quality #"ETL (Extract #Transform #Load)"
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
