Data & Software Engineer 5 — System Insights & Productivity Metrics

Collaborate with cross-functional teams to understand business needs and translate them into technical solutions that drive innovation and efficiency. Implement and optimize distributed processing frameworks to handle large-scale data processing. Develop and integrate software solutions for data analysis, reporting, and experimentation. Continuously improve system efficiency and effectiveness, leveraging best practices in data governance and software engineering. Proficient in Java, Spark, and SQL. Extensive experience working on ETL, aggregation, and reporting. Experienced in building and managing distributed systems and data pipelines. Experience in building MCPs and GenAI Frameworks. Familiar with big data technologies and comfortable working with large scale datasets. Strong communicator with the ability to explain complex data problems in clear and concise language. Passionate about data quality, software design, and delivering impactful solutions. Comfortable working in a fast-paced, agile environment with ambiguous requirements. A collaborative team player who thrives in a diverse and inclusive culture. Hands-on experience with batch or streaming data processing. Knowledge of data modeling, data warehousing, and data transformation.