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Dale Workforce Solutions is seeking a software engineer to design and manage real-time streaming pipelines using Apache Kafka and Apache Flink. You will integrate diverse data sources with AWS and Snowflake, ensure data quality, and drive reliability across platforms.
The role emphasizes automation with Terraform and CI/CD, performance tuning of pipelines, and providing hands-on Kafka guidance to teams. Ideal candidates have 3+ years in Kafka and distributed systems and 2+ years in Python.
Develop and manage real-time streaming pipelines using Confluent Kafka and Apache Flink, integrating data sources with platforms such as AWS and Snowflake while maintaining data quality and reliability. Automate infrastructure and deployments with Terraform and CI/CD, optimize pipeline performance, and support teams with Kafka guidance and troubleshooting.
Requires at least three years of software development experience focused on Apache Kafka and distributed systems, including at least two years of Python experience, plus hands‑on experience with Confluent Kafka, Schema Registry, Terraform, and AWS. Preferred qualifications include Confluent Cloud, Apache Flink, ksqlDB, Kafka Connect, Snowflake, Java, cloud‑native DevOps tools, and relevant certifications.