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DataOps Support Engineer

DataOps Support Engineer

11 Hours ago • All levels • DevOps • Administrative

About the job

12 skills required for this role

Add these skills to join the top 1% applicants for this job

jira

jenkins

bitbucket

kubernetes

elk

aws

data-structures

docker

gitlab

terraform

prometheus

innovation

Job Description

The DataOps Support Engineer at Apexon will monitor long-running/hung or failed jobs, collaborate with developers to address platform issues, manage email delivery failures, ensure efficient scheduling of data quality jobs, and resolve support tickets within SLAs. Responsibilities include managing stakeholder communication, coordinating ticket escalations, maintaining Jira tickets, contributing to the Collibra knowledge base, and participating in on-call rotations. The ideal candidate possesses technical expertise, strong communication and problem-solving skills, and experience in incident management. Familiarity with JIRA, Collibra, data structures, and data quality concepts is essential.

Must have:

Troubleshooting and support experience
Data management and incident management proficiency
JIRA and Collibra familiarity
Data pipeline issue resolution
Quick decision-making, SLA adherence
Effective stakeholder management

Good to have:

AWS experience
Packer, Docker, Vault
ELK stack, Prometheus, Alert Manager
Kubernetes/Docker, Terraform
GoLang scripting/coding
Ubuntu OS/BottleRocket
Jenkins/GitLab/BitBucket

Description

Position at Apexon

Company Description: Apexon is a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 17 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

DataOps support Engineer

Roles & Responsibilities: Overall, the ideal candidate for this Data Ops role should possess a combination of technical expertise, strong communication skills, problem-solving abilities, and experience in incident management. Monitoring Long Running/Hung or Failed Jobs in CDQ Product team. Collaboration with developers/Engineering teams to address platform-related issues, including code-related issues or resource constraints causing job stalls. Addressing email delivery failures or alert configuration issues. Ensuring efficient scheduling of data quality jobs. Managing all communication with stakeholders necessary to resolve support tickets. Resolving support tickets within specified Service Level Agreements (SLAs). Coordinating and tracking ticket escalations as needed. Maintaining support tickets in Jira. Contributing frequently asked questions to the Collibra knowledge base. Participating in on-call rotations for support coverage Technical Skills# Troubleshooting and support experience. Data management and incident management proficiency. Familiarity with JIRA and Collibra. Understanding data structures, flows, and quality concepts. Ability to identify and resolve data pipeline issues. Quick decision-making skills, especially for SLA adherence. Adaptability to handle changing priorities. Effective stakeholder management. Strong documentation abilities. Have experience, Knowledge on the following technologies. AWS experience, Packer, Docker, Vault, ELK stack, Prometheus, Alert Manager, Kubernetes/Docker, Terraform Scripting/coding experience – ideally GoLang, Ubuntu OS/BottleRocket, Jenkins/GitLab/BitBucket

Disclaimer:We are an Equal Opportunity Employer (EOE). You can read our job applicant privacy policy here .

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