Senior Data Engineer

Job Overview We are seeking an innovative Software Engineering Lead / Sr. Data Engineer to drive the design and development of our Analytic Foundation—a suite of commercialized analytical capabilities (prediction, matching, forecasting) supported by a robust data platform. Delivered through APIs, these services provide data and insights across a central store, enabling scalable, customer-focused solutions. This role partners closely with business teams to build products that deliver measurable value. Responsibilities • Lead the design, scoping, and implementation of complex features and scalable applications. • Develop intuitive, responsive UIs and build/maintain performant data models. • Write, review, and maintain high-quality, well-tested code. • Mentor junior engineers and guide technical development. • Drive continuous improvements to development processes. • Collaborate with Product Managers and Designers to apply user insights into new features. • Partner with global teams on end-to-end solutions. Qualifications • 5+ years of full-stack engineering in agile environments with proven leadership of large-scale features. • Expertise in Python/Scala, Spark, Hadoop (Hive, Impala, Airflow, NiFi, Sqoop), SQL, and building big data platforms. • Experience deploying production-level data-driven applications and machine learning systems at scale (Java/Scala/Python). • Proficiency in Java/Spring Boot, .NET/C#, React, Redux, TypeScript, SQL Server. • Strong background in predictive analytics, machine learning, statistics, and data modeling. • Skilled in mentoring, process improvement, and cross-functional collaboration. • Customer-centric, analytical problem-solver with strong communication skills. • Degree in Computer Science or related technical field. About the Team The Data & Services (D&S) group provides data-driven technologies and services that help global organizations make multi-million-dollar decisions, spanning payments consulting, loyalty, marketing, risk management, and experimentation (Test & Learn). Within D&S, the Targeting Analytics Program delivers insights into Credit Risk, Portfolio Optimization, and Ad Insights. Current initiatives include API-based data publishing, modern UIs, new data sets/algorithms, and scalable big data processes. Sample Products • Portfolio Optimizer: Identifies revenue opportunities in credit/debit portfolios. • Audiences: Provides targeted segments for effective campaigns using anonymized transaction insights. • Credit Risk APIs: Real-time KPIs and insights to help lenders make smarter risk decisions. Regards Durga durga@cozentech.com