Pipe layer • old toronto on
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Description: Role: Cloud Data Engineer
Location: Toronto; Hybrid 2 days a week in office
Max BR: ***
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
Custom Fields:
Name: Child
Value: IS-BFSI-Canada-1-Group3
Name: Requisition ID
Value: 10963330
Name: Work Location CDF
Value: ~Toronto 24th Floor~TCCI Canada Corporate~
Name: Type of Asset
Value: None
Name: Assets
Value: None
Name: Parent
Value: IS-BFSI-Canada-1-Parent
Name: Work Assignment Location
Value: Hybrid
Name: Business Vertical
Value: CL-BFSI Americas 2
