| Big Data Engineer (Java Or python) / Only Locals of AZ /8+ years / NO GC at Phoenix, Arizona, USA |
| Email: [email protected] |
| Hello Required Only Locals of AZ NO GC (Greencard) are not workable for this position Role:Big Data Engineer(Java or Python) Experience:8+ years Location:Phoenix AZ (Required only Locals of AZ) Location:Map Reduce, Hive , Spark , Core SQL , Dataware Housing 6+ years of software development experience and leading teams of engineers and scrum teams 3+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark) Solid Datawarehousing concepts,Knowledge of Financial reporting ecosystem will be a plus Expert on Distributed ecosystem Hands-on experience with programming using Core Java or Python/Scala,Expert on Hadoop and Spark Architecture and its working principle Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data Experience in UNIX shell scripting Ability to design and develop optimized Data pipelines for batch and real time data processing. Should have experience in analysis, design, development, testing, and implementation of system application. Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows. Preferred Qualifications: Knowledge of cloud platforms like GCP/AWS, building Microservices and scalable solutions, will be an advantage,1 + years of experience in designing and building solutions using Kafka streams or queues. Experience with GitHub/Bitbucket and leveraging CI/CD pipelines ,Experience with NoSQL i.e., HBase, Couchbase, MongoDB is good to have Excellent technical and analytical aptitude,Good communication skills, Excellent Project management skills. Results driven -- Keywords: continuous integration continuous deployment information technology green card Arizona Big Data Engineer (Java Or python) / Only Locals of AZ /8+ years / NO GC [email protected] |
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| Mon Jun 03 23:11:00 UTC 2024 |