Data Engineer
Role Overview
Seeking an experienced Data Engineer with strong data warehouse expertise and extensive banking and financial services domain experience.
Designs and develops scalable data pipelines, data lakes, and data warehouses on AWS.
The posting lists Full Time and Toronto, Ontario (Onsite).
Key Skills for This Role
Full Job Posting
Role overview
Seeking an experienced Data Engineer with strong data warehouse expertise and extensive banking and financial services domain experience.
Designs and develops scalable data pipelines, data lakes, and data warehouses on AWS.
The posting lists Full Time and Toronto, Ontario (Onsite).
Data platform engineering
- Design, develop, and maintain scalable AWS data pipelines and workflows.
- Build and manage data lakes and warehouses with Amazon S3 and Redshift; develop ETL/ELT with AWS Glue, Lambda, Spark, and related technologies.
- Implement Kafka message processing, batch ingestion, and business-layer processing; optimize ingestion, transformation, and loading.
- Ensure data quality, governance, security, performance, and scalability; monitor and troubleshoot AWS pipelines.
- Automate deployments through CI/CD and develop reusable engineering frameworks and design patterns.
- Perform data onboarding using established frameworks and analyze IBM Netezza code to design AWS data lake migrations.
Testing and collaboration
- Collaborate with clients, data users, and stakeholders to understand requirements.
- Develop unit tests and support QA, SIT, and performance testing.
- Support migration and deployment of solutions into production.
Required experience and expertise
- 12+ years of data engineering or data warehousing experience and strong banking and financial services domain experience.
- Hands-on Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift expertise; experience with Step Functions, IAM, and CloudWatch.
- Strong ETL/ELT and data pipeline development experience; IBM Netezza and AWS migration experience.
- Knowledge of Kafka, Spark, and batch data processing; strong data warehouse architecture and data lake knowledge.
Advantageous qualifications
- AWS Solutions Architect or Data Analytics certification is a plus.
- Airflow or Amazon MWAA experience is a plus.
- Exposure to Snowflake, Databricks, or Delta Lake is a plus.
- CI/CD and cloud deployment experience is a plus.
Workplace
- The job description specifies Toronto, Ontario, onsite.
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