DBA (Databricks)

Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan.<br>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. <br>We offer 100%  remote, full-time work.Main tasks:<br> * Manage multiple Databricks workspaces (dev/qa/prod);<br> * Configure cluster policies, governance & compliance;<br> * Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc;<br> * Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run);<br> * Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks;<br> * Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven)<br> * Assist users with cluster/job configuration, notebook errors, unity catalog permissions;<br> * Explain platform limitations and best practices to Data engineers;<br> * Maintain confluence pages with platform rules & troubleshooting guides;<br><br>Requirements:<br> * Experience in implementation, integration or technical support;<br> * Experience with Linux, Bash;<br> * Confident SQL skills;<br> * Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs);<br> * Experience with Python sufficient for writing small scripts or applications;<br> * Experience of maintaining Databricks jobs & environments;<br> * Experience with REST API/SDK;<br> * Understanding of file-based databases (DeltaLake, Parquet, Hive);<br> * Understanding of of cluster types & node families;<br> * Spoken English at Intermediate level or higher;<br><br>Would be a plus:<br> * Databricks REST API / Databricks SDK;<br> * Working with schema evolution, time travel, vacuum, compaction, z-order;<br> * Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints);<br> * Understanding of acid implementation on top of object storage;<br> * Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI;<br> * Cost monitoring for platform services and objects;<br> * Experience in enterprise Data platforms;<br><br>Working conditions:<br> * Nearshore candidates preferred, with availability to work EST or Pacific Time hours<br> * Remote work with no time trackers, flexible working hours<br> * Full-time (8 hours/day)<br> * Attractive USD compensation<br> * Paid vacation, holidays, sick leaves