senior Big Data Engineer Engineering - Omaha, NE at Geebo

senior Big Data Engineer

RESPONSIBILITIES & Qualifications 10
Overall industry experience 7
years' experience with building large-scale big data applications development Bachelors in computer science or related field Provide technical leadership in developing data solutions and building frameworks.
Expertise in solutions for processing large volumes of data, using data processing tools and Big Data platforms.
Experience building Data Lake, EDW and data applications using Azure, AWS and Hands-on experience in cloud Data stack (preference is Azure) Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL experience Hands-on experience with major programming/scripting languages like Java Java experience with OOPS concepts, multithreading It's nice to have experience deploying code on containers.
Conduct code reviews and strive for improvement in software engineering quality.
Hands-on experience in production rollout and infrastructure configuration Demonstrable experience in successfully delivering big data projects using Kafka, Spark Exposure working on NoSQL Databases such as Cassandra, HBase, DynamoDB, and Elastic Search Experience working with PCI Data and working with data scientists is a plus.
In-depth knowledge of design principles and patterns senior Big Data Engineer Recommended Skills Apache H Base Apache Kafka Apache Spark Big Data Cassandra Code Review Estimated Salary: $20 to $28 per hour based on qualifications.

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