Roles & Responsibilities

• Working on client projects as Data bricks Architect and successfully designing and implementing solutions on a scale 
• Architect end-to-end data pipelines that integrate with Databricks and other cloud services.
• Ensure that the data architecture supports both batch and real-time data processing and analytics.
• Leverage Databricks Delta Lake for data storage, management, and processing.

Must Have Technical/Functional Skills

• Proficiency in programming languages such as Python, Scala, or Java
• Strong knowledge of Apache Spark and its ecosystem
• Hands-on experience with Databricks notebooks and Delta Lake for data lake management
• Experience with data orchestration tools like Apache Airflow, dbt, or similar
• Strong SQL skills and familiarity with data warehousing concepts
• Familiarity with containerization technologies like Docker and Kubernetes is a plus
• Knowledge of machine learning and artificial intelligence concepts is beneficial.

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