- Bachelor’s degree in computer science, Information Systems, related technical degree, or equivalent industry experience, and a minimum five years of IT experience
- 5+ years of experience in software development and support experience
- 5+ years of Experience with Dev-ops building and supporting pipelines (concourse /Jenkins).
- 5+ years of creating ingestion pipelines (using GCP Dataflow and GCP Cloud Function)
- 8+ years of experience with Linux and automating tasks using python/bash scripting.
- 5+ years of experience in building and supporting ETL jobs.
- 3+ years of hands-on experience in Big Data systems, Data Analytics and Data Integration related fields
- 5+ years’ experience with support and monitoring team experience for Data Engineering / Integration/ Data Platform teams.
- Excellent analytical ability to trouble shoot issues in Production environment.
- Outstanding work ethic and commitment to organization success.
- Willingness to adapt to and self-learn new technologies and deliver on them.
- Excellent verbal and written communication skills with ability to clearly articulate status of requests and issues both with IT and business partners
- Working experience/knowledge in infrastructure/application architecture.
- Working experience/knowledge in Public Cloud Infrastructure (GCP).
- Working experience/knowledge of Cloud technologies & Services (GCP)
- Agile development skills and experience.
- Google Cloud Platform certification
Education:
- BS in computer or related field
Department Overview:
- The Digital Solution Platform & Products team builds automation, analytics and artificial intelligence solutions that drive success for client by creating material savings, efficiencies, and revenue growth opportunities.
- The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.
Job Description:
- We are seeking an experienced support analyst to join the Cloud Data Engineering team.
- This is an agile team focused on building various Platform Engineering and Data ingestion in Google Cloud.
High-level team responsibility will include:
- Process Analysis / Opportunity Assessment and create Roadmap for execution.
- Troubleshoot Data Pipeline & automate the frameworks.
- Idea Incubation, Design Thinking, Conducting POCs / POVs
- Developing and fostering a culture of “Create”, “Consult”, and “Cultivate.”
- User Experience at the core of development
- Ensure right levels of Logging/ monitoring/ alerting in solutions to help operations.
Responsibilities for this role:
- Provide monitoring, support and maintenance of Cloud Data Engineering Platform.
- Supports global 24x7 operations team in technical support for business operations by proactive overseeing, researching, and resolving production issues in automation solutions and platforms.
- Supports efforts to define monitoring metrics and practices of Data Platforms
- Ensure right levels of Logging/ monitoring/ alerting in solutions to help operations.
- Analyze system monitoring data and make the corrections/enhancements to the Data and ML Ops Platform.
- Work on performance optimization and maintenance by following operational
- Support with transitioning of new bots into production support by following SOP's.
- Co-ordinate with developers and support resources to meet the SLA defined in Support governance document.
- Setup continuous monitoring solutions for projects
- Assist in improving support processes in place.
- Contribute to continuous improvement initiatives for the Data and ML Ops Platform
- Training and mentoring individuals on application support and delivery disciplines as team grows.