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Medium—metro location, well-known employer and popular Data Engineer role, but requires niche streaming skills.
Medium—core data engineering skills transferable, but streaming and consulting experience increases domain specificity.
High—explicit 8+ years and mandatory streaming, Hadoop, Scala/Python, and consulting/client-facing requirements.
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Design and implement low-latency, high-throughput streaming data pipelines using Kafka, Flink, and Spark Streaming.
Build and maintain event-driven architectures for real-time data ingestion and processing.
Collaborate with application teams to define integration points and API specifications, and report progress and test results to stakeholders.
8+ years of hands-on experience in data engineering roles.
Bachelor's degree in Computer Science or related field with minimum 3 years relevant experience.
Proficient in Hadoop ecosystem, Kafka, Flink, Spark Streaming, Scala, Python, Oracle Database, SQL, PL/SQL.
Expertise in Scaled Agile delivery model including agile ceremonies like daily scrums, sprint planning, and reviews.
Experienced in building enterprise-scale data platforms and real-time streaming solutions.
Client-facing experience with ability to explain complex technical concepts to non-technical stakeholders.
Skilled in managing multiple priorities in fast-paced environments with collaborative and leadership capabilities.