Senior Databricks Engineer

Roles & Responsibilities

• Develop, enhance, and optimize data solutions using Azure Databricks.
• Build and support enterprise data applications, integrations, and pipelines.
• Design and review technical/data-flow solutions.
• Collaborate with architects, analysts, and data scientists on data products.
• Perform code reviews, testing, deployment, troubleshooting, and production support.
• Optimize complex data solutions and provide technical guidance.
• Maintain technical documentation for downstream integrations.
• Identify opportunities to improve data platforms, processes, and technologies.
• Participate in Agile/Scrum and Sprint activities.

Required Skills

• 5–10 years of experience in Data Engineering, Data Integration, or Data Warehousing.
• Strong hands-on experience with Azure Databricks.
• Strong knowledge of the Azure ecosystem.
• Proficiency in SQL and Python or Scala.
• Practical experience with data modeling and data-driven KPIs.
• Experience with ETL/ERP technologies such as Informatica, IICS, Cognos, Netezza, or similar.
• Experience with Azure Synapse, Power BI, Azure ML, or similar analytics platforms.
• Experience with data integration, data pipelines, testing, deployment, and production support.

Preferred Skills

• Experience with Azure DevOps and GitHub.
• Strong problem-solving and independent decision-making skills.
• Bachelor's degree in Computer Science, Engineering, or related field.