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Hadoop Platform support :: Charlotte, NC - Only local

Hello Folks,

 

Hope you are doing great!

 

This is Himank Jani from ApTask.

 

We have urgent requirements with one of our client’s, please review the job description below and let me know if you have any relevant candidates on your bench, Kindly share.

 

Need Only local Candidate’s of Charlotte, NC location.
Kindly share work authorization status and DL location of the candidate.

 

Job Title: Hadoop Platform support

Location: Charlotte, NC – Go for Local Profiles

Pay - $58/hr on C2C Max OR $50/hr on W2 (Without Benefits) Max

 

Job Summary: We are seeking a skilled Data Engineer with a strong focus on Hadoop Distributed File System (HDFS) to join our team. The ideal candidate will be responsible for the support and maintenance of our Hadoop platform, ensuring optimal performance and reliability. This role requires a hands-on approach to platform support (L3 Support) and a solid understanding of Google Cloud Platform (GCP) to effectively manage data workflows and storage solutions.

Responsibilities:

  • Provide L3 support for the Hadoop platform, troubleshooting and resolving issues to ensure high availability and performance.
  • Manage and maintain the Hadoop Distributed File System (HDFS), ensuring data integrity and security.
  • Collaborate with data scientists and analysts to understand data requirements and optimize data pipelines.
  • Implement and monitor data ingestion processes, ensuring efficient data flow from various sources into the Hadoop ecosystem.
  • Work with GCP services to integrate cloud-based solutions with on-premises Hadoop infrastructure.
  • Develop and maintain documentation for data engineering processes, including data models, workflows, and system configurations.
  • Participate in capacity planning and performance tuning of the Hadoop environment.
  • Stay updated with the latest industry trends and technologies related to data engineering and Hadoop.

Mandatory Skills:

  • Strong knowledge of Hadoop Distributed File System (HDFS) and its architecture.
  • Hands-on experience with L3 support and maintenance of Hadoop platforms.
  • Proficiency in managing and optimizing data workflows within the Hadoop ecosystem.
  • Familiarity with Google Cloud Platform (GCP) and its data services.
  • Experience with data ingestion tools and techniques.

Preferred Skills:

  • Knowledge of additional big data technologies such as Apache Spark, Hive, or Pig.
  • Experience with data modeling and ETL processes.
  • Familiarity with programming languages such as Python, Java, or Scala.
  • Understanding of data governance and security best practices.
  • Experience with containerization technologies like Docker or Kubernetes.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Relevant certifications in Hadoop or cloud technologies are a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

 

 

 

 

 

Best Regards,

Himank Deepak Jani

ApTask | A global, diversity-certified workforce solutions provider.

Address: 120 Wood Ave South, Suite # 300, Iselin, NJ 08830

 

This e-mail and any attachments may be confidential, proprietary or legally privileged. Any review, use, disclosure, distribution or copying of this e-mail is prohibited except by or on behalf of the intended recipient. If you received this message in error or are not the intended recipient, please delete or destroy the e-mail message and any attachments or copies and notify the sender of the erroneous delivery by return e-mail. It shall not attach any liability on the sender or ApTask or its affiliates. Any views or opinions presented in this email are solely those of the sender and may not necessarily reflect the opinions of ApTask or its affiliates.

 

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. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at 
compliance@aptask.com.

Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com)
 Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

 

 

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