| Spark Tech Lead (Big Data Engineer) :: Read Note Below before share a resume. at Mclean, Virginia, USA |
| Email: [email protected] |
| Note: Candidate should not be submitted to Hexaware within last 3 months Minimum 10+ Years of big data engineering required- 8+ and 9+ wont work Please Only share Big data Engineers with 10+ experience, dont share Data Engineers profile. Client Need Only EST zone Candidates dont share candidates located in other zone Position:- Spark Tech Lead (Big Data Engineer) Client: Hexaware End Client:- Freddie Mac. Location:- McLean, VA. (Day-1 Onsite| 3 days Onsite & 2 Days remote) (Only EST Zone candidates) Duration long term NOTE:- Share a Strong Bigdata resume with Strong Spark experience, Less Java experience will also work. But a person must be senior level. Please dont submit ETL background candidates. Job Description: Mandatory: 10+ years of experience in solution, design and development of applications using Java 8+/J2EE, Spring, Spring-Boot, Micro Services, RESTful Services and with experience in Big Data and with experience working in heavy data background needed. Develop, program, and maintain applications using the Apache Spark open-source framework. Work with different aspects of the Spark ecosystem, including Spark SQL, DataFrames, Datasets, and streaming Spark Developer must have strong programming skills in Java, Scala, or Python Familiar with big data processing tools and techniques Proven experience as a Spark Developer or a related role Strong programming skills in Java, Scala, or Python. Familiarity with big data processing tools and techniques Experience with the Hadoop ecosystem Good understanding of distributed systems Experience with streaming data platforms Must have strong experience in Big Data and experience working in heavy data background needed Must be strong in Cloud AWS event-based architecture, Kubernetes, ELK (Elasticsearch, Logstash & Kibana) Must have excellent experience in designing and Implementing cloud-based solutions in various AWS Services (: s3, Lambda, Step Function, AMQ, SNS, SQS, CloudWatch Events, etc.) Must be well experienced in the design and development of Microservice using Spring-Boot and REST API and with GraphQL Must have solid knowledge and experience in NoSQL (MongoDB) Good knowledge and experience in any Queue based implementations Strong knowledge/experience in ORM Framework - JPA / Hibernate Good knowledge of technical concepts Security, Transaction, Monitoring, Performance Should we be well versed with TDD/ATDD Should have experience in Java, Python and Spark 2+ years of experience in designing and Implementing cloud-based solutions in various AWS Services Strong experience in DevOps tool chain (Jenkins, Artifactory, Ansible/Chef/Puppet/Spinnaker, Maven/Gradle, Atlassian Tool suite) Very Good knowledge and experience in Non-Functional (Technical) Requirements like Security, Transaction, Performance, etc. Excellent analytical and problem-solving skills Nice to have: Experience in Experience with OAuth implementation using Ping Identity Experience in API Management (Apigee) or Service Mesh (Istio) Good knowledge and experience in Queue/Topic (Active-MQ) based implementations. Good knowledge and experience in Scheduler and Batch Jobs Experience with scripting languages using Unix Preferably certified in AWS Regards, Himank Jani Technical Recruiter ApTask is a global, diversity certified staffing and recruiting company that specializes in IT, finance and accounting, and blockchain developer placements. Fintech Consulting LLC DBA ApTask Connect: (551) 277-3720 | [email protected] Address: 120 Wood Ave South, Iselin, NJ 08830 | | | | For any questions or assistance please send an email to [email protected] Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. 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| Wed Dec 06 01:14:00 UTC 2023 |