Data Engineer

4+ years building data intensive distributed systems and production grade pipelines in the cloud (AWS preferred). Proficiency in Python, Java or Scala with strong software engineering fundamentals. Experience with Spark/EMR, Glue, Airflow and streaming systems such as Kafka or Kinesis. Strong SQL skills and experience working with structured and unstructured data. Familiarity with CI/CD automation, Docker/Kubernetes, and API development standards.

Design, build and maintain robust data pipelines for ingestion, transformation, and analytics using Spark, Airflow, and streaming technologies like Kafka/Kinesis. Develop and support APIs, utilities, and microservices to enable data access for internal applications and machine learning products. Write reliable, production-ready code to transform and deliver data for both batch and real time processing. Build and handle data models, metrics and feature stores to drive recommendations, personalization and analytics. Ensure data quality, observability and lineage, while collaborating with multi functional teams to deliver impactful, data driven solutions.