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Lead Databricks Analyst

Lead Databricks Analyst

RialtesBangalore, IN
13 hours ago
Job description

Location : Remote

Employment Type : Full-Time

Overview

Rialtes 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 Responsibilities

Primary : 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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