Senior Cloud Data Engineer focused on cloud architecture and automation at MUFG. Engaging in cloud database provisioning and large data migration projects while leveraging AWS technologies.
Responsibilities
Provide expert level IT technical services, including direction, evaluation, selection, configuration, implementation and integration of new and existing technologies for Cloud.
Responsible for development of methods, tools and data services to support operations of cloud infrastructure, provisioning, monitoring with IaaS, PaaS and SaaS models
Deploy, automate, maintain and manage AWS cloud-based Production systems – ensure availability, performance, scalability and security
Expertise with CI/CD delivery frameworks (e.g. Jenkins, Azure DevOps) infrastructure as code tools (Terraform, Cloud Formation), configuration, management/orchestration tools (e.g. Puppet, Ansible) and Code maintenance (GIT)
Accountable for developing operational methods to review metrics / scorecards for cloud platform; Develop appropriate GUI interfaces and dashboards for effective management
Manage the governance framework for DB-Services specific to hybrid and public cloud platforms, adhering to company security standards and integration with existing tools.
Partner, collaborate and drive accountability with internal teams and technology vendors. Anticipate technological changes within a rapidly evolving environment. Suggest architectural and design improvements. Recommend process improvements
Evaluate New technology – socialize & influence multiple internal teams (App-Dev, Architecture, Infrastructure, Security teams in the firm)
Use scale agile development methodologies and work in product mindset environment
Requirements
Have a bachelor’s degree or equivalent
Have either an AWS associate or professional certification (or equivalent)
Minimum of 10 years of IT experience or equivalent
Strong database experience in Cloud and on-premises database systems (Oracle, SQL server, PostgreSQL, MongoDB, Hadoop Bigdata, DW systems such as Snowflake/data bricks)
Minimum of (2) years of experience with AWS, with multiple AWS services beyond traditional IaaS services.
Familiarity with AWS Cloud services such as Lambda, Aurora, Dynamo DB, EMR, Glue, DMS, Quick sight, Athena, Airflow, SQS/SNS etc.
Possess Coding skills of 2+ years in Python, Scala and database procedural languages (PL/SQL, T-SQL, PG SQL etc) and automation scripting with Java Script / Node.JS
Minimum of (2) years of experience with infrastructure and database automation/programming capability with Terraform, Cloud Formation, Ansible and Python.
Manage large data migration projects:
Experience in CI/CD tools (Chef, ‘Cloudbees’, Puppet, Jenkins, GitHub, Docker)
Benefits
comprehensive health and wellness benefits
retirement plans
educational assistance and training programs
income replacement for qualified employees with disabilities
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