4 дня назад
Platform Administrator (Databricks)
hhВакансия с HeadHunter. Контакт ведёт на hh.ru
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Описание вакансии
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TL;DR
Platform Administrator (Databricks) (Databricks/AWS): Managing development, QA, and production Databricks workspaces with an accent on governance, Unity Catalog administration, job monitoring, and cluster reliability. Focus on debugging Spark and Python failures, resolving dependency and memory issues, supporting data engineers, and documenting platform standards.
Location: Remote from Lithuania
Company
Nitka Technologies develops software for customers in the US and Europe and brings together approximately 300 professionals across Eastern Europe, North and South America, Armenia, Georgia, and Kazakhstan.
What you will do
- Manage Databricks workspaces across development, QA, and production environments.
- Configure cluster policies, governance, compliance, Unity Catalog objects, grants, service principals, and external storage.
- Monitor and debug failed or long-running jobs using Databricks system tables.
- Troubleshoot cluster crashes, driver out-of-memory errors, executor failures, memory leaks, Python and Spark errors, and dependency conflicts.
- Support data engineers with cluster and job configuration, notebook errors, permissions, platform limitations, and best practices.
- Maintain Confluence documentation covering platform rules and troubleshooting procedures.
Requirements
- 3–6 years of relevant experience in implementation, integration, or technical support.
- Experience with Linux, Bash, SQL, Python scripting, REST APIs or SDKs, and Databricks jobs and environments.
- Strong experience with AWS infrastructure, including EC2, S3, IAM, VPC, secret management, and SQS.
- Understanding of Delta Lake, Parquet, Hive, cluster types, and node families.
- Spoken English at Intermediate level or higher.
- Ability to work remotely from Lithuania.
Nice to have
- Databricks REST API or Databricks SDK experience.
- Knowledge of schema evolution, time travel, VACUUM, compaction, Z-ORDER, and corrupted Delta table recovery.
- Understanding of ACID implementation on object storage and Spark jobs, partitions, and queries.
- Experience with Kafka or similar technologies, Terraform, GitLab CI, cost monitoring, or enterprise data platforms.
Culture & Benefits
- 100% remote work from Lithuania.
- Full-time schedule of 8 hours per day.
- Flexible working hours with no time trackers.
- USD compensation.
- Paid vacation, holidays, and sick leave.
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