Software Development Engineer 2

Build, develop, and support scalable data platforms, data migration solutions, and integration frameworks that enable analytics and AI capabilities.

Develop, test, deploy, and maintain data pipelines using Python, Java, PySpark, and cloud services (AWS/Azure), supporting batch, micro-batch, and real-time processing.

Contribute to ETL/ELT frameworks, REST API and Kafka-based integrations, and apply data quality, monitoring, and governance practices with support from senior engineers.

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

4+ years of experience in Data Engineering, Data Migration, Integration Engineering, or related roles (including strong internships or project experience).

Proficient in Python, Java, SQL, PySpark, Spark SQL; working knowledge of Databricks or similar big-data platform.

Exposure to cloud data services (AWS and/or Azure); understanding of ETL/ELT and relational databases; familiarity with REST APIs, Git/GitHub, and CI/CD fundamentals.

Experienced in developing and deploying production-scale data pipelines with cloud-native tools and big-data platforms.

Comfortable working under guidance while progressively owning small to medium tasks including development through deployment and troubleshooting.

Motivated to deepen knowledge of AI data pipelines, responsible AI practices, and integration engineering in a collaborative environment.