drjobs Remote - Urgent Requirement for Big Data Engineer العربية

Remote - Urgent Requirement for Big Data Engineer

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Job Location drjobs

remote - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Big Data (Java, Spark - Big Data Engineer) Job Location: Phoenix, AZ Minimum Qualifications# 5 years of work experience in software design and implementation using Java Experience in distributed data processing and analyzing using Elasticsearch, Spark Experience in designing, impl ementing and operating any of the NoSQL databases such as Cassandra, Couchbase, Redis Experience in cloud platforms like Docker, Kubernetes. OpenShift is a plus Clear understanding of various design patterns, threading and memory models support ed by the language VM Have excellent written and verbal communications skills. Create and deliver effective presentations to Senior Leadership.Preferred Qualifications# Experience in distributed messaging system such as Kafka# Experience inbu ilding Micro services and Service Mesh is a plus# Proven Experience with Go Lang# Experience in Continuous integration, Continuous delivery and DevOps Systems Experience in architecting large scale distributed data systems considering scalabilit y, reliability, security, performance, and flexibility Able to mentor and provide technical guidance to other engineers. Role Lead Data Engineer Location: Phoenix, AZ Client EWS (Pls do not publish) Rate - $70/hr Indent 598884 Must Have : Scala , Spark , Kafka , AWS JD: You have a Bachelors degree in Computer Science or equivalent You have 8+ years of relevant software development experience You have hands-on experience in Spark, Scala, Kafka, AWS. This is critical. You have working knowledge of Java. You have prior experience in Prior expeience of Distributed computing. You have experience with development tools and agile methodologies You are good in verbal, written, and interpersonal communication skills You have experience in leading teams, technical mentoring You work creatively and analytically in a problem solving environment You direct and guide team members Key Responsibilities : Design and Development of Data pipeline on AWS Cloud Data Pipeline development using Spark, Scala, Kafka, AWS Cloud Developing Spark streaming applications Highly analytical and data oriented Experience in SQL, NoSql Database Strong bias for action and with an ability to navigate through ambiguities Able to see the bigger picture, while balancing short term deliverables Strong verbal, written and presentation skills Role Senior Data Engineer Location: Phoenix, AZ Client EWS (Pls do not publish) Rate - $65/hr Indent 598887 Must Have : Scala , Spark , Kafka , AWS JD: You have a Bachelors degree in Computer Science or equivalent You have 8+ years of relevant software development experience You have hands-on experience in Spark, Scala, Kafka, AWS. This is critical. You have working knowledge of Java. You have prior experience in Prior expeience of Distributed computing. You have experience with development tools and agile methodologies You are good in verbal, written, and interpersonal communication skills You have experience in leading teams, technical mentoring You work creatively and analytically in a problem solving environment You direct and guide team members Key Responsibilities : Design and Development of Data pipeline on AWS Cloud Data Pipeline development using Spark, Scala, Kafka, AWS Cloud Developing Spark streaming applications Highly analytical and data oriented Experience in SQL, NoSql Database Strong bias for action and with an ability to navigate through ambiguities Able to see the bigger picture, while balancing short term deliverables Strong verbal, written and presentation skills Data Engineering Lead/ ArchitectOnsite in NJ/NYC office or within traveling distance.Able to communicate with Business and Technical stakeholders to propose solutions, create work breakdown and estimate the effort for execution. Able to coordinate and collaborate with cross-functional teams, stakeholders, and vendors Job description Overall 12-14 years of experienceWorked with Spark, Python and SQL for at least 3 years in a professional settingHas experience deploying machine learning models into production, and building systems for these processes. Experience with databricks MLOps or AWS Sagemaker a plusHas comfort with containerization technologies (Fargate, ECS, docker)Intellectually curious and self-directed problem solver, keen to work on a variety of data projects and independently search for answersHas worked with Python common data related libraries (pandas, numpy)Has worked with Databricks, RDS as well as NoSQL databases (Cassandra, HBase)Has experience working with DevOps tools like Git, Jenkins and Terraform.Has hands-on experience with SQL and can write complex queries with ease. Has experience building batch and real-time data pipelines.Has familiarity with AWS services (kinesis, fargate, lambda, S3)Care deeply about the quality of your code, but are also aware of timelines and dont spend countless hours trying to bring things to perfectionCommunicates clearly and effectively Anish Antrive Senior Recruiter Nityo Infotech Corp.Suite 1285, 666 Plainsboro RoadPlainsboro , NJ , 08536 Cell Desk EXT 4005 Email: LinkedIn: If you feel you received this email by mistake or wish to unsubscribe, kindly reply to this email with UNSUBSCRIBE in the subject line

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