Senior Software Engineer (Hadoop, Databricks, PySpark, SQL, Java, React)

Experience as a full-stack Software Engineer, with exposure to building platforms using modern technologies such as Java/Spring Boot, TypeScript, and React.

Experience building large-scale data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments, leveraging technologies such as Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and modern cloud-native data services.

Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce.

Experience building reusable platforms that serve multiple products, teams, or business domains.

Foundational understanding of software engineering principles, including object-oriented programming, API design, and scalable system design, is preferred.

Interest in working with data-intensive applications, including improving performance, scalability, and reliability across services and data-processing layers.

Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams.

Curiosity, self-motivation, and a strong willingness to learn, with a growth mindset and interest in solving analytical, data-driven problems in an agile, fast-paced environment.

Bachelor’s or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience