[Hiring] DBA @Nitka Technologies

Role Description

We are looking for an experienced DBA (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100% remote, full-time work.

• Manage multiple Databricks workspaces (dev/qa/prod)
• Configure cluster policies, governance & compliance
• Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc
• Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run)
• Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks
• Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven)
• Assist users with cluster/job configuration, notebook errors, unity catalog permissions
• Explain platform limitations and best practices to Data engineers
• Maintain confluence pages with platform rules & troubleshooting guides

Qualifications

• Experience in implementation, integration or technical support
• Experience with Linux, Bash
• Confident SQL skills
• Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs)
• Experience with Python sufficient for writing small scripts or applications
• Experience of maintaining Databricks jobs & environments
• Experience with REST API/SDK
• Understanding of file-based databases (DeltaLake, Parquet, Hive)
• Understanding of cluster types & node families
• Spoken English at Intermediate level or higher

Requirements

• Would be a plus:
• Databricks REST API / Databricks SDK
• Working with schema evolution, time travel, vacuum, compaction, z-order
• Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints)
• Understanding of acid implementation on top of object storage
• Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI
• Cost monitoring for platform services and objects
• Experience in enterprise Data platforms

Working Conditions

• Nearshore candidates preferred, with availability to work EST or Pacific Time hours
• Remote work with no time trackers, flexible working hours
• Full-time (8 hours/day)
• Attractive USD compensation
• Paid vacation, holidays, sick leaves