Responsibilities

Lead a high performing, cross functional team to develop a framework for Data & Analytics

application best practices using a hands-on approach to implementing automation as a problem

solving mechanism.

 Permeate a DevOps mindset across the Data & Analytics Support team, driving and managing

execution of scalable CI/CD and automation initiatives.

 Design and document a repeatable approach to automated deployment for ETL tools like

Talend, Informatica and related visualization tools like Tableau and Qlik Sense.

Provide thought leadership and hands-on development of standardized utilities to manage

production environments building generic, reusable utilities for various operations teams to

leverage.

 Measure and monitor Service Level Targets, Service Level Agreements, availability, and system

health.

 Engage in and with development process to ensure that teams continue to build monitorability

and maintainability into their systems.

Qualifications

 Interest in automating manual / routine tasks through analyzing, troubleshooting, optimizing

and standardizing current state processes across the organization

 Excellent written and verbal English skills.

 A passion for problem solving and a strong analytical mindset.

 Ability to assess a situation and provide recommendations for continuous process improvement.

 Expertise in software engineering, cloud technologies, and DevOps best practices specifically in

areas such as: continuous integration and continuous delivery, configuration management, and

application monitoring.

 Strong experience with GIT / BitBucket

 Strong experience with Jenkins, Puppet/Chef

 Strong experience with Bash / Shell scripting

 Experience with Python or Node.js

 Solid understanding of web technologies such as HTTP/S, JSON, FTP, SSH, and REST

 Working experience with querying common databases (MySQL, PostgreSQL, Oracle, MS SQL,

Redshift) and creating schemas to support automation initiatives

 Experience with Jira and Confluence

Manager expects this Lead Data Automation Engineer to pair with the team, train them with the skills they need to grow and mentor them so they could design and build their own infrastructure and delivery pipeline.

The ideal candidate is one who comes from a development background, knows coding even though he/she won’t be doing coding (hardcoding passwords).

They should have extensive Production environment experience wherein the deliverable is a reliable, scalable and highly available system