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Kanerika Inc

Hyderabad G.P.O. / Global

Senior Data Engineer

Job Description

Role:

As 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.

Key Responsibilities:

- Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQL

- Hands on Databricks Devs – Deployments, CICD, Performance Management

- Hands on Databricks Infrastructure like creating resources (Catalogs, Volumes, Storage Account, Private end points)

- User permissions, access controls, Keyvalults etc.

- Handling release deployments, job controls, workflow management & organizing via automations

- 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 fixes

- Additional knowledge of other Databricks key features, like Genie, Apps, Models creations etc

Required Qualifications:

- Bachelor's degree in computer science, Information Technology, Engineering, or a related field.

- Bachelor's/Master's degree in Computer Science, Information Technology, Engineering, or related field.

- 8+ years of experience in Devops and 3+ years in DBX.

- Strong hands-on experience in Databricks (Spark, Delta Lake, PySpark, MLflow).

- Proficiency in SQL and programming languages like Python or Scala.

- Experience with Azure cloud data services.

- Solid understanding of data modeling, data governance, security.

Why join us?

- Work with a passionate and innovative team in a fast-paced, growth-oriented environment.

- Gain hands-on experience in content marketing with exposure to real-world projects.

- Opportunity to learn from experienced professionals and enhance your marketing skills.

- Contribute to exciting initiatives and make an impact from day one.

- Competitive stipend and potential for growth within the company.

- Recognized for excellence in data and AI solutions with industry awards and accolades.

Apply Now

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