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We are looking for an Azure Database/BigData DevOps Engineer to work across multiple diverse businesses within TD to deliver enterprise data services/capabilities and solutions on Azure. The perfect candidate will have previous public cloud experience delivering enterprise data solutions within financial services including knowledge of the security and regulatory requirements. The role will initially focus on delivering Azure SQL Database followed by adoption of additional Azure data services. As a BigData/DevOps Engineer, you will work in collaboration with cloud engineering, network, security and risk management to deliver secured Azure data solutions (SQL Database, Cosmos DB, HDInsight, Databricks, Data Factory...) that meet security policies and standards within TD. You will collaborate with developers in our Azure engineering team and lines of business to implement and continuously improve the framework and tools to support self-service automation of the platform. You will develop design patterns and custom code in Jenkins, Groovy, Python and PowerShell to automate database builds, deployment, and automate testing for the platform.
You will have a strong passion for writing code to automate and integrate technologies and eliminate manual steps. You will work with our business developers and internal teams to maintain a backlog of features and integration enhancements to continue to automate the platform. You will develop code using our agile JIRA tools to manage a backlog of enhancements and bug-fixes, managing source code in Stash and binaries in Nexus. You will also develop automated integration tests to run on our Jenkins CI (continuous integration) platform for test automation to help support bug free releases.
Roles and Responsibilities:
Strong programming skill with experience in API and Webhook development using Python, Ruby, PowerShell and Shell Scripting languages
Experience with automating (provisioning, configuration management, deployment...) and integrating Azure Data PaaS solutions (Azure SQL, Azure Cosmos DB, Azure SQL Datawarehouse, Azure Data Lake, Azure Databricks, Azure HDInsight...).
Design and build modern Data Pipelines/Streams and Data Service APIs to assist with data migration (on-premise SQL to Azure SQL databases, on-premise Hadoop to Azure Data lake...)
Write and use Azure RM templates
Understand product features for DR/BCP options and how fits in overall application architecture
Create design/architecture patterns covering HA and DR/BCP
Understand security features and for Azure Data solutions (data protection, authentication, RBAC, audit logging...)
Ability to troubleshoot Application connectivity/access to Azure data products (NSG, basic routing)
Understand and develop concepts related to deploying databases via CI/CD pipeline
Ensure that all cloud solutions follow internally defined security and compliance controls
Implement the enterprise cloud capability and enhance the cloud orchestration platform for automated provisioning, management and scalability of hosts, containers, applications and cloud services
Proficiency in cloud automation using native Azure CLI
Ability to participate in fast-paced DevOps Engineering teams within Scrum agile processes
A critical thinker with strong research and analytics skills
Self-motivated with a positive attitude and an ability to work independently and or in a team
Able to work under tight timeline and deliver on complex problems
Expertise in Azure SQL and Cosmo DB database covering
Deployment, configuration options
Understand DR/BCP and HA configuration options and how fits in overall application architecture and RTO/RPOs.
Security features (data protection/encryption set-up, AD authentication, access controls/RBAC, audit logging...)
Monitoring and performance tuning
Methods for data migration
Experience migrating on-premise databases to Azure
Exposure to 3 rd party database configuration/migration tools like Flyway
Experience deploying/configuring Azure Data services: Databricks, ADLS, Blob, Data Factory, Data Lake, SQL Data Warehouse ...
3+ years of experience developing platform orchestration code in Python and Groovy
3+ years of experience writing automation pipelines in Jenkins
Demonstrated knowledge of cloud provisioning and administration, cloud bursting, cloud interoperability, cloud disaster recovery and business continuity strategies, as well as performance measurement and monitoring in the cloud
Must be a self-starter, demonstrated ability to take independent action to achieve results.
Excellent written and verbal communication skills with the ability to communicate clearly with all levels within the team
Highly developed critical thinking, analytical and problem-solving skills
Bachelor's degree in Computer Science or related field
Advance knowledge of software development lifecycle and working in an Agile Scrum team
Demonstrated effective leadership and analytical skill
At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
Internal Number: 6282897
About TD Bank Group
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