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Job Duties:

Develop and maintain Python scripts to automate data ingestion and processing tasks for the Analytical Data Warehouse, leveraging Snowflake and Databricks.Collaborate with stakeholders to understand data requirements and design database schemas accordingly.Use SQL to write efficient queries, perform data manipulation, and optimize database performance.Implement ETL processes to load data into the data warehouse, ensuring data quality and integrity.Work closely with the Business Intelligence team to support their reporting and analytics needs.Troubleshoot and resolve issues related to data pipelines, ETL processes, and database performance.Monitor and optimize data pipelines for efficiency and scalability.Collaborate with cross-functional teams to integrate data from various sources into the data warehouse.Provide technical expertise and guidance to junior members of the team.Stay up-to-date with industry best practices and emerging technologies in data engineering.Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives.Contribute to the design and architecture of the data warehouse infrastructure.Document data workflows, processes, and procedures for future reference and knowledge sharing.Assist in the evaluation and implementation of new tools and technologies to enhance data processing capabilities.

Education: The minimum qualification required for the performance of the above specialty occupation duties is a bachelor's degree or equivalent in Computer Science or equivalent in a related field or a foreign equivalent is required closely related field with relevant experience.