AWS Data Platform Engineer (Intermediate)
Apex Systems Toronto, Ontario, Canada
Apex Systems Toronto, Ontario, Canada
Apex Systems Toronto, Ontario, Canada
4 days ago 84 applicants
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AWS Data Platform Engineer
Apex Systems is a global IT services provider, and our staffing practice has an opening for an Data Platform Engineer with a strong understanding of CDK, exceptional understanding of AWS cloud infrastructure, and solid DevOps Engineering expertise to place at our client, a Big Five Bank.
- Client: Big Five Bank
- Terms: 6-month contract to hire.
- Location: Currently 100% Remote, Post COVID, Downtown Toronto
- The Bank is seeking a Data Platform Engineer. The Bank’s cloud strategy is focused on innovation, leveraging rapidly emerging cloud native services to meet the rapidly evolving needs of our customers.
- The Bank Cloud Engineering team is leading the way at a Bank where our Purpose is Growing the Good and Being Bold. We demonstrate those values every day. Be part of the action – where we have challenging discussions about how to align those customer requirements to the right cloud architectures and services.
- The Bank Platform Engineer will help evolve the core cloud platform, by leveraging emerging best practices and tools, securely connecting to our strategic cloud suppliers, providing a platform for innovation for the entire Bank.
Job Description:
- Design, implement and integrate the bank’s Cloud Platform, core, and shared services.
- Design, implement and manage hybrid cloud connectivity and intra-cloud networking.
- Develop patterns for automated provisioning, management, scalability, and security.
- Ensure that all cloud solutions follow internally defined security and compliance standards and controls.
- Be the major contributor to IaC modules: develop new modules, maintain existing modules.
- Design and plan enterprise-scale cloud environments including application dependencies, data storage and flow, network connectivity and overall cloud hosting.
- Design, implement and secure cloud IaaS, PaaS, and other services in AWS.
- Develop and maintain up-to-date architectural templates, build an operational documentation of the technical environment.
- Continuously enhance the capability, security, and experience of the enterprise Hybrid cloud.
Key Qualifications:
- Foundational knowledge of Cloud data platform, ML/AI, ML Ops, and data visualization
- Experience working with AWS EMR, Sagemaker, Glue, data caching and data warehouse
- Proven ability to secure data sources, data platforms and data analytics and visualization layers
- Solid understanding of Enterprise cloud data platform architecture including Ingestion, storage, processing, streaming, metadata and servicing layers.
- Experience designing and implementing Cloud data security, data governance using IAM, Ranger, AWS Datalake
- Hands on programming experience using Python
- Experience preparing automated implementation of EMR Clusters, ML Ops Pipeline, and system integration
- Experience with data visualization tools (PowerBI, Quicksight) and data gateways
- A critical thinker with a Strong analytical and problem-solving skills and advanced multi-tasking and prioritization skills
- Hands on experience with CI/CD technologies -AWS Code Commit, Code Pipeline, Code Deploy, Bit bucket
- Certification: Certified Solutions Architect, Certified Data Analytics, Certified Machine Learning
Technologies:
- Infrastructure As Code experience: Terraform, CDK, or Cloud formation.
- Glue
- Lake formation/Ranger
- Redshift
- S3
- EMR
- Managed Airflow
- Athena
- IAM, Secrets Manager, System Manager, Cloudwatch
- Sagemaker Studio
- Data Flow or Data pipeline lifecycle
- Candidate should understand ETL and or ELT CICD
- CodeBuild, CodeDeploy
Interview Process: Interviews will occur within two weeks and consist of a technical panel discussion.
-
Seniority level
Mid-Senior level -
Employment type
Contract -
Job function
Engineering and Information Technology -
Industries
IT Services and IT Consulting, Banking, and Engineering Services
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