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Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients. With a presence in over 45 countries, we excel in leveraging state-of-the-art technology and domain-specific AI solutions to elevate our clients' strategic decision-making and business impact. Our Risk and Quant Solutions practice is one of the fastest growing at Evalueserve, addressing some of the world's largest financial needs with technology-proven solutions. As a Data Engineer - Market Risk, you will work among a team based in Chile, supporting and interacting directly with a US client. We are looking for a highly motivated and experienced Databricks Developer to design, develop, and optimize our data infrastructure and pipelines. The ideal candidate will have a deep understanding of Apache Spark, Databricks, and big data processing. Key responsibilities include designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark, optimizing and tuning Spark applications for performance and scalability, implementing data processing workflows for ETL, batch, and streaming data, and ensuring data quality, integrity, and security throughout the data lifecycle. We are seeking a candidate with 4 to 6 years of experience in Data Engineer functions applied to finance, ideally Market Risk, proficiency in programming languages such as Python, experience with data warehousing concepts and SQL, familiarity with Delta Lake and data lake architecture, knowledge of Azure cloud platforms and its data services, and Databricks certification. If you are a motivated and experienced professional looking to make a meaningful impact in the financial industry, we encourage you to apply.
