Platform Administrator (Databricks)
Nitka
远程工作
- 地点
- Remote (United States)
- 工作安排
- Full Time
- 发布日期
- 2026年10月17日
申请前，请在雇主网站确认职位仍在招聘，并检查完整要求和条件。
职位描述
此界面为简体中文。雇主发布的职位名称和描述保留原文，可能为英文。
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.
We are looking for an experienced Platform Administrator (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.Main tasks:
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;
Requirements:
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 of cluster types & node families;
Spoken English at Intermediate level or higher;
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 acidimplementationon 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:
Remote work with no time trackers, flexible working hours
Full-time (8 hours/day)
Attractive USD compensation
Paid vacation, holidays, sick leaves
Originally posted on Himalayas