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EPAM Systems is looking for a Databricks Engineer to advance our client's Data-Driven Company initiative within the insurance sector. This role involves designing and building robust data architecture to support various aspects of the client's business while leveraging expertise in cloud infrastructure, big data processing, data integration, and analytics, particularly with Azure. The successful candidate will design, develop, and maintain scalable data pipelines and architectures and collaborate with Machine Learning engineers to integrate AI-driven insights and recommendations.

EPAM Systems is looking for a Databricks Engineer with expertise in cloud infrastructure and big data processing to support their Data-Driven Company initiative in the insurance sector. Responsibilities include designing scalable data pipelines, integrating AI insights, and ensuring data quality. Ideal candidates will have experience with Databricks, strong skills in Python and SQL, as well as familiarity with cloud technologies.

EPAM Systems is looking for a Senior Data Engineer experienced in Databricks or similar ETL tools. The successful candidate will work with agile data teams to assist in migrating data pipelines from Oracle to Databricks, design and operate data pipelines, integrate high-quality datasets for analytical use, enable data teams to follow client standards, and maintain existing data pipelines. The ideal candidate should have over 3 years of experience with Databricks, strong understanding of Apache Spark, and proficiency in AWS Glue. We look for a professional with a passion for data transformation and innovation, able to communicate fluently in English as part of a dynamic work environment. Join our team in Madrid, Málaga, or remotely across Spain.

Meta is looking for a Data Engineer, Product Analytics. In this role, you will shape the future of our products across Facebook, Instagram, Messenger, WhatsApp, and more. You will collaborate with software engineering, data science, and product management teams to design and build scalable data solutions that optimize strategies and enhance user experiences for over 3 billion users worldwide. Your expertise will help craft some of the world's most extensive data sets, addressing complex analytical questions and enhancing our products.