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RichRelevance seeks a senior Big Data engineer to integrate and optimize complex real-world customer TV and digital ad data for pre- and post-campaign analyses on AWS-based big data platforms. You will work with Databricks, PySpark, Glue, EMR, and Lambda to architect scalable pipelines and collaborate with cross-functional teams.
Requirements include 8+ years in software development, strong experience with Hadoop ecosystem, Scala, Python, and building monitored data workflows on cloud
To integrate complex real-world Customer TV and Digital Ad viewing data to perform pre- campaign planning and post-campaigns performance measurements using Big Data Platform (Databricks, Glue, EMR, Step-functions, Lambda, PySpark and other AWS services to support existing workloads, Automate and monitor and based on requirement develop an elastic, scalable, high performance and cost-effective solution in collaboration with cross functional teams.