Senior Data Engineer

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:

• Databricks platform setup and administration.
• CI/CD and DevOps and strong databricks technical skills.
• Troubleshooting and resolving platform-related issues.
• Deployments, Catalog creation, access management, and workspace administration.
• Supporting development activities while maintaining platform stability.

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.