4 дня назад
Platform Administrator (Databricks)
hhВакансия с HeadHunter. Контакт ведёт на hh.ru
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TL;DR
Platform Administrator (Databricks) (Databricks/AWS): Managing and troubleshooting Databricks workspaces, clusters, jobs, Unity Catalog objects, and platform integrations with an accent on governance, compliance, and reliable data-platform operations. Focus on debugging Spark and Python failures, resolving cluster and storage issues, and supporting data engineers with platform configuration and best practices.
Location: Remote from Turkey
Salary: Attractive USD compensation
Company
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 controls, Unity Catalog objects, permissions, 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, Unity Catalog 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 maintaining Databricks jobs and environments.
- Strong experience with AWS infrastructure, including EC2, S3, IAM, VPC, secrets management, and SQS.
- Experience with Linux, Bash, SQL, Python scripting, REST APIs or SDKs, and file-based data technologies such as Delta Lake, Parquet, and Hive.
- Understanding of cluster types, node families, and Databricks platform operations.
- Spoken English at Intermediate level or higher.
Nice to have
- Databricks REST API or Databricks SDK experience.
- Knowledge of schema evolution, time travel, vacuum, compaction, Z-Ordering, 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 Turkey.
- 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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