August 22, 2024
β’ Design, develop, and maintain scalable and efficient data pipelines β’ Implement ETL/ELT processes to collect, transform, and load data from various sources into data warehouses and data lakes. β’ Design, develop, and maintain scalable, robust, and high-performance applications using Python β’ Collaborate with cross-functional teams to gather and analyze requirements and translate them into technical specifications β’ Write clean, maintainable, and efficient code following best practices and coding standards. β’ Conduct thorough testing and debugging of applications to ensure functionality and performance β’ Participate in code reviews, providing and receiving constructive feedback to maintain code quality β’ Collaborate with the client data team and analysts to understand data needs and deliver solutions β’ Stay updated with the latest industry trends, tools, and technologies in data engineering and Python development.
β’ 5+ years of solid Python and Django development experience β’ Experience with ETL processes to ingest, transform and save content obtained from multiple data sources β’ Experience with data workflows and data pipelines with documents, video and audio β’ Excellent communication skills β’ Experience with JSON-based APIs β’ Experience with Microservices β’ Experience with JavaScript and JQuery β’ Experience with Enterprise Search engines, such as Solr or Elasticsearch β’ Agile Development (Scrum) experience β’ Experience with developing and deploying to the AWS
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