Senior Data Engineer

Experience Level: 9-12 years Key Responsibilities Senior Data and AI Engineering lead for large and complex data ecosystem leveraging data domains, data products, cloud and modern technology stack Real-Time Data Streaming: Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar. Senior Data and AI Engineering lead responsible for Implementing Data and AI pipelines that bring together structures, processes, and systems to drive business outcomes. This includes developing and maintaining data products, data platforms, and data architectures that support the organization's strategic goals. The ideal candidate will have a strong understanding of data engineering principles, cloud computing, big data technologies, and machine learning algorithms. Additionally, they should be able to design, build, and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.