Lead Databricks Analyst

15 hours ago

Delhi, India Rialtes Full time

Location: RemoteEmployment Type: Full-TimeOverviewRialtes is seeking a Databricks Support Analyst to manage platform operations, ensure reliability of clusters and jobs, and support development of data workflows. Role requires hands-on experience with Databricks administration, SQL-based development, and basic Python.Key ResponsibilitiesPrimary: Platform Support- Monitor and maintain Databricks clusters, jobs, workflows, and schedules.- Troubleshoot issues related to compute resources, job failures, data ingestion completeness, schema changes, and data accuracy.- Manage user provisioning, access controls, workspace permissions, and catalogs using Unity Catalog aligned with governance standards.- Ensure cost-optimized cluster usage and enforce security, tagging, and compliance policies.- Collaborate with Cloud Ops, Data Engineering, and InfoSec teams to resolve platform-wide incidents.Secondary: Design & Development- Assist in building Databricks workflows for ETL, analytics, and machine learning pipelines.- Support development and optimization of notebooks and scripts—primarily SQL, with some Python for transformations and validations.- Implement best practices for job cluster configuration, Photon acceleration, Delta Lake, and Unity Catalog integration.- Participate in unit testing, functional testing, UAT cycles, and production migration of Databricks jobs.- Contribute to documentation including runbooks, SOPs, job catalogs, and data lineage.Qualifications- 5 years of experience in Databricks, data engineering support, or cloud platform operations.- Strong SQL skills; working knowledge of Python preferred.- Hands-on experience with Databricks clusters, job orchestration, Delta Lake, and Unity Catalog.- Understanding of ETL workflows, CI/CD for data pipelines, and cloud environments (AWS/Azure/GCP).- Strong debugging skills for job failures, performance bottlenecks, and ingestion issues.- Ability to work in fast-paced environments with cross-functional teams.Nice-to-Have- Databricks Certified Associate or equivalent.- Exposure to MLflow, Data Quality (DQ) frameworks, or Databricks Workflows orchestration.- Experience with Git, DevOps tools, or monitoring solutions (CloudWatch, Azure Monitor, etc.).

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