Descripción de la oferta
Software Engineer – Big Data & Cloud Our evaluation processes focus on professional experience, technical knowledge, personal motivations, and soft skills, as we strongly believe in inclusion and equal employment opportunities. Key Responsibilities Design, develop, and maintain scalable regulatory reporting data models within a banking environment. Build, optimize, and monitor big data pipelines using Apache Spark (Scala) to process large volumes of financial data. Transform complex regulatory requirements into robust, production‑ready data solutions in collaboration with Risk, Finance, and Compliance teams. Deploy and operate data solutions on AWS infrastructure, ensuring security, traceability, and auditability. Perform performance tuning, data quality controls, and troubleshooting to ensure high availability of critical reporting systems. Apply best practices in code quality, version control, CI/CD, and DevOps processes. Requirements Mandatory Proven experience with AWS services (S3, EMR, Glue, Lambda). Strong background in Big Data technologies: Hadoop ecosystem, Hive, and Apache Spark with Scala. Advanced SQL skills, including the ability to replicate and validate code logic through SQL testing. Hands‑on experience with code repositories and build tools (Git, Maven). DevOps knowledge, including CI/CD tools (Jenkins), scripting, deployment processes, and Jira. Experience working in regulated or enterprise environments with high data governance standards. Nice To Have Strong analytical skills, with the ability to translate technical concepts into non‑technical language. Experience creating test cases and validation scenarios. Solid knowledge of Control‑M (job creation, scheduling, parameter management). Experience in documentation, data analysis, and functional/technical specifications. Background in Financial Services or Banking (Retail, Business, or Corporate Banking). Working knowledge of GenAI tools used in engineering or data teams. What We Offer Permanent contract with a competitive salary. Flexible working model with remote work options. Personalized career path and continuous learning (technical training, certifications, English lessons). Participation in stable, long‑term projects with strong technical focus. Flexible working hours and work‑life balance culture. Social benefits tailored to your needs. #J-18808-Ljbffr
