Our Client which is a Investment Bank is urgently looking to hire a Sr. Database Site Reliability ( AWS ) Engg
Expertise in AWS services (Redshift, Aurora).
Hands-on experience with CDK automation and observability for data lakes/pipelines.
Knowledge of Apache Airflow for pipeline management.
Required Skills - SRE, AWS Services ( Lambda, RDS, Aurora ), Observability , Cloud Watch, Dynatrace Monitoring Tools, Data Lake - Data Management, Data Warehouse, ETL Data Pipelines, Python, Unix Scripting.
Hybrid Role - Need 2 days onsite every week in Toronto, ON .
Rates - CAD
Description
Cloud Experience: In depth knowledge in Cloud Native tools / services: CDK, Cloud Watch, EKS, EC2, ELB, S3, Lambda, \& SSM.
SRE: In depth knowledge and experience in Observability, Toil Management, Monitoring tools (Dynatrace, CW, Azure Monitor), Resilient Arch, IaC, CaC, JSON, Typescript, API and Webhook development using Python, Node.js, Ruby, PowerShell, and Shell Scripting languages.
In depth understanding of Dynatrace advanced features (DT Guardian, RUM, Synthetic testing and monitoring, AI event correlation)
Automation: Leverage Ansible Tower, AWS SSM, BitBucket / GitHub to build automated workflow that eliminate Toil, improve response time and streamline deployment pipeline.
Cloud Orchestration tools (AWS Step functions, Containers, Apache Airflow) with special focus on Data Batch Processing and Pipelines
Deep knowledge in Data Management, Data Warehouse, Data lakes, \& Database reliability (RedShift, RDS, Aroura)
Experience in Logs ingestion (AWS Firehose, DT Open Pipeline), Reporting and Dashboard tools, Operational Metrics and analytics
Exceptional Problem Solving skills, Knowledge Management and effective communicator that can speak the language of people, process and technology.
Decisive, energetic, focused team player who builds and leads high-performing teams / CoP and foster a culture of diversity, inclusion, recognition and growth.
