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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. Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, capture, collect and format data from the external sources, internal systems, and the data warehouse to extract features of interest. Code, test, deploy, monitor, document and troubleshoot data engineering processing and associated automation.

Bachelor’s degree in Computer Engineering, Computer Science, or related field of study.

Five (5) years of related IT experience. Experience must include: software engineering to include Java, Scala, and Python; processing large data sets with Spark, Kafka, RabbitMQ, Flume, Hadoop, HBase, Cassandra or similar distributed system; NoSQL data stores such as HBase, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise; data science and building high performance algorithms.

Send resume to recruitment@gmfinancial.com or by mail to: Y. Castillo Valdivia, Human Resources, 801 Cherry Street, Suite 3500, Fort Worth, TX 76102

Reference SAIID-PP1