Overview
On Site
Hybrid
Contract - Independent
Skills
8-10 years
Job Details
Lead AWS Platform/Data Engineering Lead
Experience Range > 12 Years
Mandatory 4 Days, In Person - In Office, Downtown Toronto
Must Have Technical/Functional Skills
Client is looking for engineers with the following skills:
? Strong Experience with AWS Services: S3, Lake Formation, Glue, EMR, EC2 Athena, Lambda, EventBridge, SNS, SQS
? Strong Experience in SQL, Python and Spark for Data Engineering tasks
? Expertise in Terraform
? Experience in designing and implementing Data Pipeline on AWS using native and configurable AWS services
? Excellent design and troubleshooting skills.
? Proficiency in Apache Spark for distributed data processing
? Experience with Amazon Neptune DB for graph-based metadata management
? Strong understanding of Data lake architecture, data governance and security best practices
? Strengthen Entitlement capability
? Launch self-serve data subscription and sharing of data products through Data Portal
? Improve data discovery by displaying composite data products only, simplifying catalog organization, Low Latency Solutions
? Build, design and implement scalable data lake architecture using AWS S3 and Lakeformation
? Build and optimize ETL Pipelines using AWS Glue, EMR and Spark
? Implement Event-Driven workflows using EventBridge, SNS and SQS
? Design and query datasets using Athena
? Manage metadata and data lineage using Amazon Neptune DB
? Expose APIs for data subscription and sharing using API Gateway and AWS Lambda
? Automate infrastructure provisioning using Terraform
? Ensure data security and compliance by implementing robust IAM policies and access controls.
? Develop and maintain a self-serve data portal using Angular and integrate it with backend service
Managerial Skills (Must Have)
? Strong Communication Skills
? Experience in Leading Teams
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