Data Operations Specialist

Overview

At this time, we are unable to offer visa sponsorship for this position (H1b/OPT). Candidates must be legally authorized to work for any employer in the United States (or applicable country) on a full-time basis without the need for current or future immigration sponsorship.

As a Production Support Engineer your role will ensure an active monitoring, ticket/issue handling, request fulfillment & proactive communication. Your role also provides technical input for an onshore-offshore development team building hybrid applications in an on-premise and cloud environment. This will require you to maintain high site uptime/data availability while embracing rapid change and growth. This role requires technical knowledge, adaptability, great customer service, hands on execution as well as a strong drive for maintaining the application availability and resiliency.

Responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning.

• Demonstrate the ability to analyze data related production issues and provide sound resolutions or a path forward to be resolved by the development team
• Knowledge of Python and SQL to support On-premises & Cloud (GCP) applications & processes.
• Coordinate with various teams and help resolve service desk tickets for all issues, analyze root cause and assist in efficient resolution of all production processes
• Coordinate with IT groups and internal Business Units to ensure effective application services to ensure reliability of all applications
• Knowledge of Control and or Cloud Composer
• Analyze all business processes and ensure compliance to all controlled processes according to business requirements
• Will create a healthy maintenance cycle for existing solutions to ensure they are up to date and leverage full solutions
• Properly communicate both written and verbally all issues and resolution actions
• Develop and maintain professional relationships with all Relationship Manager and provide support as needed
• Maintain logs of all issues and ensure resolutions according to quality assurance tests for all production processes
• Utilize available performance improvements tools to offer suggestions that will increase system and application functionality
• Retrofitted automated Alerts and Monitoring for critical applications to create Incident tickets in the ticketing system tool and to display on the Executive Dash Board
• Must show flexible enough to learn any tools/technology when needed
• The ability to provide Continuous improvement or automation resolutions is a plus

Not an exhaustive list; other duties as assigned.

• 3+ years of strong Production support background using Cloud & on-premise technologies & applications
• Have good understanding of Change Management or release management
• Knowledge of SQL and PLSQL with the ability to write and understand queries
• Good understanding or proficiency in scripting languages such as Python
• Must have knowledge on Windows command familiarity and scripting (Powershell)
• Experience with any scheduling tools, with preference given to those familiar with CTM or Cloud Composer (Airflow)
• Very good knowledge on scripting using Python & UNIX Shell scripting
• Good understanding on Cloud based services like Composer, Bigquery, cloud Storage, networking, Cloud Run, SQL & Pub/Sub
• Should be capable of writing SQL queries for debugging, coding, and support tasks
• Must have good understanding on SDLC life cycle
• Good understanding on Code repo management, branching strategy, Version controlling using GITHUB, VSTS & Teamforge etc
• Strong analytical, planning, and organizational skills with an ability to manage competing demand
• Excellent communication skills, verbal and written; should be able to collaborate across business teams (stakeholders) and other technology groups as needed.
• Exposure to Payments industry is a plus

• Advanced scripting skills in Python
• Expertise in other BI tools like MSTR
• A good understanding of the payment domain
• Basics in AI/ML.

Minimum 3 years of relevant Prod support experience.

Software Engineering, Information Systems or other Technical degree; additional experience in lieu of degree will be considered