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Remote, mid-level, popular Kafka skills, but niche Striim requirement moderates competition.
Streaming and CDC skills transfer across industries, though finance domain experience is somewhat preferred.
Explicit 5+ years and mandatory Kafka and Striim experience increases screening strictness.
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Design, build, and support scalable and reliable real-time and near-real-time data streaming pipelines using Kafka and Striim.
Collaborate with architects, lead engineers, and business partners to develop technical streaming solutions aligned with business requirements.
Troubleshoot complex production issues ensuring data consistency, reliability, and performance of streaming platforms.
Bachelor’s degree in Computer Science or equivalent experience.
5+ years of professional software or data engineering experience.
Strong hands-on experience with Kafka and Striim streaming technologies.
Experience with Oracle, PostgreSQL, Amazon Redshift, Apache, Pyspark, AWS, Glue, Python, Java, and Snowflake required.
Deep technical expertise in streaming data integration and change data capture (CDC) patterns with distributed and event-driven system knowledge.
Experience supporting production systems, including operational responsibilities like on-call support.
Familiarity with schema management tools (Schema Registry, Avro/Protobuf/JSON), cloud-native streaming services, and container deployment environments.