Data Engineer (Jr.)

• 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.