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Вакансия опубликована 8 дн. назад - шансы на ответ снижаются.
8 дней назад
Platform Administrator (Databricks)
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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 troubleshooting. Focus on debugging Spark and Python failures, resolving dependency and infrastructure issues, and supporting data engineers with platform configuration and best practices.
Location: Remote, based in Baku, Azerbaijan
Salary: Attractive USD compensation
Company
Nitka Technologies develops software for customers in the US and Europe and brings together around 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, 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 guides.
Requirements
- 3–6 years of professional 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, secrets management, and SQS.
- Understanding of Delta Lake, Parquet, Hive, cluster types, and node families.
- Spoken English at Intermediate level or higher.
- Remote work based in Baku, Azerbaijan.
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, full-time work with flexible working hours.
- No time trackers.
- Eight-hour workday.
- Paid vacation, holidays, and sick leave.
- Long-term project for a California-based customer in the event ticketing industry.
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