Kforce has a client in the Fort Worth, TX area that is looking to add a Data Engineer to their growing team!Overview:This organization is expanding their efforts into complementary data technologies for decision support in areas of ingesting and processing large data sets including data commonly referred to as semi-structured or unstructured data. Our interests are in enabling data science and search-based applications on large and low latent data sets in both a batch and streaming context for processing. To that end, the Data Engineer will engage with team counterparts in exploring and deploying technologies for creating data sets using a combination of batch and streaming transformation processes. These data sets support both off-line and in-line machine learning training and model execution. Other data sets support search engine-based analytics. Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, collaborating on the selection of data solutions software, and contributing to the identification of hardware requirements based on business requirements. Responsibility also includes coding, testing, and documentation of new or modified scalable analytic data systems includingautomation for deployment and monitoring. The Data Engineer participates along with team counterparts to develop solutions in an end-to-end framework on a group of core data technologies.Duties: * Data Engineer will contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation * Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques * Contribute to the definition and refinement of processes and procedures for the data engineering practice * 2-4 years of hands-on experience with Hadoop technologies such as HBase/Solr/Hue/S3 data fabric and the different new file formats * 2-4 years of experience with software engineering to include but not limited to Spark, Java, Scala and/or Python * Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume, HBase, Solr or similar distributed systems * Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile Cloud Databases, MQ, Relational Databases * Experience with Azure cloud services and AWS S3 data fabric * Experience with containerization including Dockers and Kubernetes * Experience with continuous integration and deployment (CI/CD) pipelines * Experience with NoSQL data stores such as MongoDB, Cassandra, HBase, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise * Prior exposure to Cloudera/HPE Ezmeral Container Platform or other Big Data technologies is desirable * Experience or familiarity with ETL and Business Intelligence Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.Compensation Type:YearsMinimum Compensation:76000.00Maximum Compensation:141000.00
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