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Bigdata/Spark Developer with Java - CSI-IT-064 - Tampa, FL
We are looking for Bigdata/Spark Developer with Java for our client in Tampa, FL
Job Title: Bigdata/Spark Developer with Java
Job Location: Tampa, FL
Job Type: Contract
Job Description:
Primary Skill (Spark, Scala, SQL):
On a scale of 10, atleast 9 on Scala.
On a scale of 10, atleast 6 on Spark skills
On a scale of 10, atleast 6 on SQL skills.
Most importantly they need to be very strong hands on Java developers.
They will be writing their own new projects and will be expected to build their own with Docker and Openshift CI/CD pipelines.
Migration of data sources and reporting from Netezza (and other databases) to Hadoop Environment.
Reverse engineer existing data flows to migrate from legacy designs to best practice approach.
Detect, diagnose, and repair data quality errors and identify and implement technical and process improvements to prevent future data quality errors.
The desired candidate will have hands on experience e in many of the following areas.
Unix, ETL Processing, Hadoop (Cloudera), Impala / Hive / HBase, Solace/Tibco or other RT messaging services, FIX/FPML messages, TeamCity/uDeploy (or other suitable enterprise CI/CD).
Financial Markets experience.
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Cynet Systems is an Equal Opportunity Employer
At Cynet Systems, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military, women, minority and veteran status, and any other characteristic protected by applicable law. Cynet Systems believes that diversity and inclusion among our teammates are critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.