Nitka Technologies

Platform Administrator (Databricks)

In short

This role manages Databricks workspaces (dev, QA, production) for a California-based event ticketing company's platform, handling governance, Unity Catalog administration, job monitoring, and cluster troubleshooting. The employer is an outsourcing company with ~300 professionals across Eastern Europe, the Americas, and the Caucasus/Central Asia. It requires 3–6 years of experience with Linux, Bash, SQL, Python, REST APIs, Databricks, and strong AWS infrastructure skills (EC2, S3, IAM, VPC, SQS), plus understanding of Delta Lake, Parquet, and Hive. The position is fully remote, full-time, restricted to candidates in Georgia, with intermediate spoken English required.

Location
Tbilisi, Georgia; 100% remote
Remote, full-time position supporting a long-term project for a California-based leader in event ticket sales across Europe and the USA.
Compensation: Attractive USD compensation
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 controls, 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 users with cluster and job configuration, notebook errors, and Unity Catalog permissions.
•Maintain Confluence documentation covering platform rules, troubleshooting, limitations, and best practices.
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, secrets management, and SQS.
•Understanding of Delta Lake, Parquet, Hive, cluster types, and node families.
•Spoken English at Intermediate level or higher is required.
Nice to have
•Databricks REST API or SDK experience and knowledge of schema evolution, time travel, VACUUM, compaction, and Z-ORDER.
•Experience debugging corrupted Delta tables, including conflicting commits, tombstones, and missing checkpoints.
•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 with no time trackers.
•Flexible working hours.
•Full-time schedule of 8 hours per day.
•Paid vacation, holidays, and sick leave.

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