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Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and maintain enterprise data platform solutions emphasizing cloud-based infrastructure and scalable data processing with Databricks and Apache Spark.
Build, deploy, and manage CI/CD pipelines using tools like Harness, Azure DevOps, and support platform modernization, cloud migration, and operational improvements.
Monitor platform health, perform incident and production support, troubleshoot deployment issues, and collaborate with global teams to ensure platform reliability and governance compliance.
Minimum Requirements
1-3 years of experience in Data Engineering, Platform Engineering, SRE, DevOps, or related roles.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
Hands-on experience with Databricks, Apache Spark, cloud platforms (Azure, GCP, AWS), CI/CD pipelines, SQL, Python, PySpark, and Git/GitHub.
Willingness to work rotational shifts covering morning, afternoon, and evening hours.
Ideal Candidate Profile
Operates effectively in cloud-based, enterprise-scale data engineering environments using Databricks, Apache Spark, and modern DevOps CI/CD tooling.
Has strong operational ownership experience including production support, incident management, and platform reliability in distributed global teams.
Comfortable with automation, infrastructure as code (IaC), monitoring/observability, and continuous improvements focused on platform scalability and security.