Senior Analyst, Data Engineering
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Job Description
Structured overview of role & requirementsAbout This Role
Own and maintain enterprise-scale data platform solutions with a focus on cloud-based infrastructure using Databricks and Apache Spark.
Develop and manage CI/CD pipelines for data workloads using tools like Harness, Azure DevOps, and GitHub Actions.
Provide production support, monitor platform health, manage incidents, and collaborate globally to ensure reliability and operational excellence.
Minimum Requirements
3-5 years of experience in Data Engineering, Platform Engineering, SRE, DevOps, or related roles.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
Hands-on experience with Databricks, Apache Spark, and cloud platforms (Azure, GCP, or AWS).
Experience with CI/CD pipelines using Harness, Azure DevOps, or GitHub Actions and familiarity with Terraform and Git/GitHub.
Ideal Candidate Profile
Experienced working in operations-focused, production support environments with rotational shift schedules.
Skilled in cloud-native data platform engineering and CI/CD automation with strong troubleshooting capabilities.
Capable of collaborating with cross-functional and globally distributed teams to support platform scalability, reliability, and continuous improvement.