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.