Senior AWS Data Engineer

Role: Cloud Data Engineer Location: Toronto; Hybrid 2 days a week in office Contract “MUST HAVE” skills and experience for this requirement. Amazon S3 (Data Lake) AWS Glue (ETL) AWS Lambda Amazon Redshift AWS Step Functions AWS IAM & CloudWatch IBM Netezza Role and Responsibilities Resource have strong data warehouse technical knowledge. Resource have knowledge in Bank and financial domain (Minimum 12+ years of experience). Design, develop, and maintain scalable data pipelines and workflows on AWS Build and manage data lakes and data warehouses (e.g., S3, Redshift) Develop ETL/ELT processes using tools like AWS Glue, Lambda, or Spark Strong solution Knowledge in AWS Cloud and hands on experience with ETL process (like Kafka message processing, batch interface data injection and other business layer process) Optimize data ingestion, transformation, and loading processes Work with stakeholders to understand and deliver data requirements Ensure data quality, governance, and security compliance Monitor and troubleshoot data pipelines and workflows Automate deployments using CI/CD pipelines Improve performance, cost optimization, and scalability Coordinate with clients, data users and key stakeholders to understand feature requirements needed merge them to create reusable design patterns Data onboarding using the developed frameworks Understand and make sense of available code in Netezza to design a best way to implement its current features in AWS Data Lake Unit test code and aid with QA/SIT/Perf testing Migration to production environment Good to have AWS Certifications (Solutions Architect / Data Analytics) Experience with Airflow (or Managed Workflows for Apache Airflow - MWAA) Exposure to Snowflake, Databricks, or Delta Lake

Design, develop, and maintain scalable data pipelines and data lakes on AWS. Migrate existing Netezza features to AWS and ensure data quality, security, and performance optimization.

Requires over 12 years of experience in the banking and financial domain with strong AWS cloud and ETL expertise. Proficiency in S3, Glue, Lambda, and Redshift is essential.

• CI/CDPreferred

Identified from the job description. Confirm important requirements above.

• Amazon S3
• AWS Glue
• AWS Lambda
• Amazon Redshift
• AWS Step Functions
• AWS IAM
• CloudWatch
• IBM Netezza
• ETL/ELT
• Apache Spark
• Kafka
• CI/CD
• Airflow
• Snowflake
• Databricks
• Delta Lake

• Data & Analytics
• Technology
• Software
• Engineering
• Finance & Accounting

Minimum experience

12+ years

Apply by

Oct 9, 2026

Posting language

English

Working hours

40 hours per week

Office presence

2 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available