Sr Data Bricks Data Engineer

Responsibilities :

• Data Pipeline Development : Design, build, and maintain scalable and efficient data pipelines using Databricks for data ingestion, transformation, and processing.
• Programming & Scripting : Develop robust data solutions and automation scripts primarily using Python .
• Cloud Data Warehousing : Work with and optimize data solutions on cloud data warehouses such as Snowflake and BigQuery .
• SQL Expertise : Utilize advanced SQL skills for data manipulation, querying, and optimization within various data platforms.
• Data Modeling : Contribute to the design and implementation of data models for data lakes and data warehouses, ensuring data quality and consistency.
• Performance Tuning : Identify and resolve performance bottlenecks in data pipelines and queries within the Databricks, Snowflake, and BigQuery environments.
• Troubleshooting : Provide expert-level troubleshooting and support for data-related issues, ensuring data integrity and availability.
• Collaboration : Work closely with data scientists, data analysts, and other stakeholders to understand data requirements and translate them into effective data engineering solutions.
• Documentation : Create and maintain comprehensive documentation for data pipelines, processes, and architectures.

Required Skills :

Skills Required

Databricks, Python, snowflake , BigQuery, Sql, Data Warehousing