Senior DataOps Engineer

A company is looking for a Senior DataOps Engineer to build and optimize its data infrastructure.

Key Responsibilities

Build, scale, and optimize the data platform using tools like Databricks and Spark

Design and maintain robust data pipelines and automate infrastructure for operational readiness

Develop and maintain infrastructure to support MLOps practices, including model deployment and monitoring

Required Qualifications

4+ years of experience in Data Engineering with a focus on data platforms and cloud environments

Expertise in designing distributed systems and data pipelines using tools like Fivetran and DBT

Proficiency in Python, Scala, SQL, and Spark for developing scalable data workflows

Solid understanding of cloud infrastructure (AWS / Azure) and experience with Terraform

Experience with data governance, security practices, and compliance to maintain data integrity