Senior Data Engineer

5+ years in data engineering or a related field, with deep expertise in real-time data processing. Proficient in Python or Scala with a strong understanding of scalable system design. Hands-on experience with Kafka, Kafka Connect, and Apache Flink; familiarity with Flink CDC is a plus. Working knowledge of AWS services such as S3, DynamoDB, Kinesis, Kubernetes, Lambda, SageMaker, Glue, and Athena. Experience with performance tuning of data systems for speed and efficiency.

Design, build, and maintain scalable real-time data pipelines. Leverage Apache Flink for high-performance, advanced stream processing. Implement and manage Apache Kafka for real-time data ingestion and streaming workflows. Develop efficient and maintainable Python or Scala code for data transformation and processing. Lead and mentor junior data engineers, promoting engineering best practices. Oversee the migration of existing data platforms with a focus on data integrity and minimal service disruption. Work closely with cross-functional teams to define data needs and deliver robust, scalable solutions. Ensure all data solutions adhere to data governance and quality standards throughout their lifecycle.