Data Automation Engineer
Responsibilities:-
Lead a high performing, cross functional team to develop aframework for Data & Analytics
application best practices using a hands-on approach toimplementing automation as a problem
solving mechanism.
Permeate a DevOpsmindset across the Data & Analytics Support team, driving and managing
execution of scalable CI/CD and automation initiatives.
Design and document arepeatable approach to automated deployment for ETL tools like
Talend, Informatica and related visualization tools likeTableau and Qlik Sense.
Provide thoughtleadership and hands-on development of standardized utilities to manage
production environments building generic, reusable utilitiesfor various operations teams to
leverage.
Measure and monitorService Level Targets, Service Level Agreements, availability, and system
health.
Engage in and withdevelopment process to ensure that teams continue to build monitor ability
and maintainability into their systems.
Qualifications:-
Interest inautomating manual / routine tasks through analyzing, troubleshooting,optimizing
and standardizing current state processes across the organization
Excellent written andverbal English skills.
A passion for problemsolving and a strong analytical mindset.
Ability to assess asituation and provide recommendations for continuous process improvement.
Expertise in softwareengineering, cloud technologies, and DevOps best practices specifically in
areas such as: continuous integration and continuousdelivery, configuration management, and
application monitoring.
Strong experiencewith GIT / Bit Bucket
Strong experiencewith Jenkins, Puppet/Chef
Strong experiencewith Bash / Shell scripting
Experience withPython or Node.js
Solid understandingof web technologies such as HTTP/S, JSON, FTP, SSH, and REST
Working experiencewith querying common databases (MySQL, PostgreSQL, Oracle, MS SQL,
Redshift) and creating schemas to support automationinitiatives
Experience with Jiraand Confluence.
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