Data Platform Engineer; Kafka, Spark, DevOps

Position: Data Platform Engineer (Kafka, Spark, DevOps)
Job Title:
Data Platform Engineer (Kafka, Spark, Dev Ops)
Work Location:
Austin-TX-78753 hybrid

Job Description:

- (Must Haves)
" Top 3

Required skills:

Spark, Kafka, Dev Ops
" Years of experience in each of the must-have skills: 7 Years

Role Overview :
We are looking for a proactive and technically strong Data Platform / Streaming Engineer to support and manage critical data infrastructure systems in an onsite role.
The ideal candidate will combine hands-on experience in modern data technologies with strong communication and stakeholder management skills.

Required Skills & Experience
Technical / Infrastructure
" Manage and support data streaming and processing platforms including:
" Apache Kafka
" Apache Spark / Flink
" Work extensively with Vertica / SQL-based systems for data querying, optimisation, and troubleshooting.
" Handle code versioning and collaboration using Git.
" Monitor, maintain, and troubleshoot production data pipelines and infrastructure.
" Support maintenance windows, deployments, and production stability.

Operations & Dev Ops (Learning-Oriented)
" Participate in basic Dev Ops activities, including:
" Deployment coordination
" Environment handling
" Release support
" Assist in managing:
" Maintenance windows
" System upgrades and onboarding of new technologies
" Drive continuous improvement in operational efficiency and system reliability.

Business & Stakeholder Engagement
" Act as a point of contact for internal users and stakeholders.
" Conduct and facilitate:
" Regular meetings and status discussions
" Issue resolution calls and follow-ups
" Ensure effective client communication and expectation management.
" Translate business needs into actionable technical requirements.