Lead Data Engineer (Python/Java/AWS)

📋 Description

• • As a Lead Data Engineer at FICO, you will be a pivotal member of our Analytics and Scores Development team, contributing directly to the creation and enhancement of sophisticated analytical software solutions. This role is central to our mission of empowering businesses across more than 100 countries to make superior decisions through advanced analytics.
• • You will collaborate closely with data scientists and researchers, playing a crucial role in the entire analytic software development lifecycle. Your primary focus will be on ensuring data is accurately extracted, transformed, and loaded (ETL) to support in-depth analysis, model development, and strategic decision-making.
• • A key responsibility involves partnering effectively with various Scores stakeholders to deliver data-driven solutions that align with and advance strategic Scores initiatives. This requires a deep understanding of business objectives and the ability to translate them into robust data engineering processes.
• • You will be tasked with analyzing, interpreting, and manipulating large and complex datasets. This skill is essential for supporting cutting-edge analytic research and the development of predictive models that drive business value.
• • Delivering high-level results within expected timelines is paramount. You will manage your workload to ensure critical business projects are completed efficiently and effectively, meeting all deadlines.
• • You will leverage FICO's internal technologies to develop, maintain, and improve tools and processes. This involves tackling challenging business problems, particularly in the realm of predictive analytics, and contributing to innovative solutions.
• • Supporting our existing codebase and the overall analytic Software Development Lifecycle (SDLC) is a core function. This includes maintaining code quality, troubleshooting issues, and contributing to the continuous improvement of our software assets.
• • Demonstrating self-initiative and innovation is highly encouraged. You will be expected to write new code, proactively evaluate existing code, and identify opportunities for optimization and enhancement to continuously improve our analytical capabilities.
• • Applying advanced data transformation techniques will be essential to optimize the processing of massive datasets. This ensures that data is not only accessible but also efficiently prepared for complex analytical tasks.
• • You will work in close conjunction with data scientists and other data engineers. This collaborative environment fosters the development of best methodologies for generating new tools, writing efficient code, and constructing robust datasets that meet stringent project requirements.
• • The role demands a strong ability to translate complex business problems into executable code and practical data solutions. You will act as a bridge between business needs and technical implementation.
• • You will utilize statistical software and data manipulation tools to rigorously evaluate data quality, ensuring the integrity and reliability of the data used in all analytical endeavors.
• • A high degree of detail-orientation is required, demonstrating the ability to execute given processes with meticulous precision and accuracy.
• • Proficiency in auditing results is crucial, ensuring a critical level of accuracy and detail in all data processing and analysis outcomes.
• • You will contribute to the development and maintenance of tools and processes that solve challenging business problems in predictive analytics, working with big data technologies.
• • This role offers the chance to make a significant impact within a leading global analytics software company, contributing to solutions that shape how businesses worldwide make critical decisions. You will be part of a team that values innovation, collaboration, and professional growth.