Hybrid AWS Data Engineer in Toronto
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Summary
Builds and optimizes AWS data pipelines for banking applications on a year-plus hybrid contract in Toronto, working with Python, PySpark, SQL, Redshift, Athena, and EMR, while performing data quality checks and implementing CI/CD with Git, Jenkins, and Terraform.
Elevate your career as a Hybrid AWS Data Engineer in Toronto, ON. This long-term contract role demands expertise in Python, PySpark, and SQL to develop robust data pipelines for banking applications.
We seek an experienced AWS Data Engineer for a Toronto-based project lasting over a year. You will build scalable data processing solutions and work with Redshift, Athena, and EMR, ensuring data integrity through transformations and quality checks. Additionally, your role includes troubleshooting, optimizing pipelines, and implementing CI/CD processes using tools such as Git and Jenkins.
Key Responsibilities: • Build data processing solutions with Python and SQL • Utilize Redshift and Athena for analytics tasks • Perform validations, reconciliation, and quality checks • Optimize data pipelines and resolve production issues • Implement CI/CD using tools like Terraform and Jenkins
Requirements: • 8+ years of data engineering experience • Proficiency in AWS services including S3 and Glue • Familiarity with CI/CD processes • Knowledge of data governance in the banking sector • Experience with Kafka, Snowflake, or Databricks preferred
Combine your data engineering skills with AWS experience to make a significant impact in the financial sector.
We seek an experienced AWS Data Engineer for a Toronto-based project lasting over a year. You will build scalable data processing solutions and work with Redshift, Athena, and EMR, ensuring data integrity through transformations and quality checks. Additionally, your role includes troubleshooting, optimizing pipelines, and implementing CI/CD processes using tools such as Git and Jenkins.
Key Responsibilities: • Build data processing solutions with Python and SQL • Utilize Redshift and Athena for analytics tasks • Perform validations, reconciliation, and quality checks • Optimize data pipelines and resolve production issues • Implement CI/CD using tools like Terraform and Jenkins
Requirements: • 8+ years of data engineering experience • Proficiency in AWS services including S3 and Glue • Familiarity with CI/CD processes • Knowledge of data governance in the banking sector • Experience with Kafka, Snowflake, or Databricks preferred
Combine your data engineering skills with AWS experience to make a significant impact in the financial sector.
