Job Description
Role:
nAs a Senior Databricks Engineer you will be responsible for automating platform operations, managing CI/CD pipelines, and supporting deployments across multiple environments. The role ensures platform stability, security, and scalability while enabling faster and more reliable software delivery.
nKey Responsibilities:
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- Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQLn
- Hands on Databricks Devs – Deployments, CICD, Performance Managementn
- Hands on Databricks Infrastructure like creating resources (Catalogs, Volumes, Storage Account, Private end points)n
- User permissions, access controls, Keyvalults etc.n
- Handling release deployments, job controls, workflow management & organizing via automationsn
- Handling production incidents, triaging production issues, work with Databricks to open incident tickets/case and follow up to close the issue and ensure long term fixesn
- Additional knowledge of other Databricks key features, like Genie, Apps,



Models creations etcn

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nRequired Qualifications:
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- Bachelor's degree in computer science, Information Technology, Engineering, or a related field.n
- Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field.n
- 8+ years of experience in Devops and 3+ years in DBX.n
- Strong hands-on experience in Databricks (Spark, Delta Lake, PySpark, MLflow).n
- Proficiency in SQL and programming languages like Python or Scala.n
- Experience with Azure cloud data services.n
- Solid understanding of data modeling, data governance, security.n

nWhy join us?
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- Work with a passionate and innovative team in a fast-paced, growth-oriented setting.n
- Gain hands-on experience in content marketing with exposure to real-world projects.n
- Opportunity to learn from experienced professionals and enhance your marketing skills.n
- Contribute to exciting in

📌 Senior Data Engineer (Hyderabad)
🏢 Kanerika
📍 Hyderabad