DataOps Engineer - Python, Scalable Data Pipelines (Onsite)

Wipro; Austin (TX); On-site; USD 60,000 - 135,000; Full time

Benefits offered by this job

Medical and dental benefits

Disability insurance

Paid time off

Job summary

A global technology services firm is seeking an experienced DevOps/Python Engineer to design and optimize scalable data pipelines. This role demands expertise in the modern data ecosystem such as Druid and Databricks, along with strong programming skills in Python. The ideal candidate will manage distributed data systems while collaborating with cross-functional teams to enhance data workflows. Competitive compensation ranging from $60,000 to $135,000 with comprehensive benefits is offered.

Qualifications

• 5+ years of experience in DataOps, Data Engineering, or DevOps Engineering.
• Solid understanding of distributed systems architecture.
• Proficiency in SQL and strong programming skills in Python, Scala, or Java.

Responsibilities

• Design and maintain highly available and scalable data pipelines.
• Collaborate with teams to deliver reliable data services.
• Implement automation for deployment and monitoring of workflows.

Skills

DataOps

DevOps Engineering

Python

Druid

Databricks

SQL

Airflow

GitHub Actions

Kubernetes

Tools

CloudFormation

Terraform

AWS

Azure

GCP

Job description

A global technology services firm is seeking an experienced DevOps/Python Engineer to design and optimize scalable data pipelines. This role demands expertise in the modern data ecosystem such as Druid and Databricks, along with strong programming skills in Python. The ideal candidate will manage distributed data systems while collaborating with cross-functional teams to enhance data workflows. Competitive compensation ranging from $60,000 to $135,000 with comprehensive benefits is offered.