Job Opening for Big Data Developer( Java and Hadoop)-Philadelphia PA ( Hybrid Model 3 days a week) at Philadelphia, Pennsylvania, USA |
Email: [email protected] |
From: Vignesh, Themesoft Inc [email protected] Reply to: [email protected] Hi, Hope my mail finds you in good health!!! Kindly take a look at the below Job description and if you have any suitable consultants then share their profile with me. Job Title: Big Data Developer( Java & Hadoop) Client: Virtusa/Comcast Location: Philadelphia PA ( Hybrid Model 3 days/ week) Duration: Long Term Contract Job description: Designs, develops, and implements Big Data streaming applications with scala/java to support business requirements. Follows approved life cycle methodologies using standard software frameworks, perform coding and testing and operational support Resolves technical issues through debugging, research, and investigation. Relies on experience and judgment to plan and accomplish goals. Performs a variety of tasks. A degree of creativity and latitude is required. Codes software applications to adhere to designs supporting internal business requirements or external customers. Standardizes the quality assurance procedure for software. Oversees testing and develops fixes. Contribute to the Design and develop high quality software for large-scale Java/Scala distributed systems using Databricks and AWS Cloud Ingest and process streaming data sets using appropriate technologies including but not limited to, AWS Cloud (Kinesis, S3, Lambda), Spark, and Kafka. Skills: 5 - 8 years of programming experience in Java/Scala, preferably in Big Data space Good knowledge of standard concepts, practices, and procedures within a particular field. Experience with Databricks, kafka, spark and AWS services like s3, kinesis, lambda Good understanding of Big Data concepts and experience with GitHub and CI/CD tools SLA: Strong coding skills, meeting delivery schedules consistently DevOps - 90% development, 10% ops support of products we build On-call rotation (reachable by phone) and support of data issues when on call 24X7 Regards, Vignesh [email protected] Keywords: continuous integration continuous deployment sthree |
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Wed Dec 21 15:10:00 UTC 2022 |