Big Data SME
Richmond, VA · On-site
... HDP, MapR, Cloudera - Visualization/UI: Tableau, R, D3.js, Ext-Js, AngularJS, Jquery Knowledge around - Data quality, Data Governance, Data lineage, Security, Metadata management, Scheduling on ...
Big Data SME
Richmond, VA · On-site
... HDP, MapR, Cloudera - Visualization/UI: Tableau, R, D3.js, Ext-Js, AngularJS, Jquery Knowledge around - Data quality, Data Governance, Data lineage, Security, Metadata management, Scheduling on ...
Hdp information
What is an hdp?
HDP professionals typically refer to experts who work with Hortonworks Data Platform (HDP), which is an open-source framework for distributed storage and processing of large data sets. These professionals are knowledgeable in big data technologies such as Hadoop, Spark, and related tools within the HDP ecosystem. They are responsible for designing, deploying, managing, and optimizing data solutions to help organizations analyze and leverage large amounts of data efficiently. Their work often involves system administration, data engineering, and ensuring data security and scalability across the platform.
What are the key skills and qualifications needed to thrive as a Hadoop developer?
To thrive as a Hadoop Developer, you need strong programming skills in Java, Python, or Scala, as well as a solid understanding of distributed computing and data processing concepts. Familiarity with Hadoop ecosystem tools such as HDFS, MapReduce, Hive, Pig, and Spark, along with relevant certifications like Cloudera or Hortonworks, is highly beneficial. Problem-solving abilities, attention to detail, and effective teamwork are crucial soft skills for this role. These competencies ensure efficient handling of big data projects, optimize data workflows, and contribute to successful collaboration in large-scale data environments.
What are some common challenges faced by professionals working in Hadoop (HDP) roles, and how can they be addressed?
Professionals in Hadoop (HDP) roles often encounter challenges related to managing large-scale data clusters, ensuring data security, and optimizing performance. One frequent issue is troubleshooting cluster performance bottlenecks, which requires a strong understanding of both the Hadoop ecosystem and system architecture. Additionally, maintaining data integrity and implementing robust access controls can be complex in distributed environments. Collaboration with data engineers, system administrators, and security teams is crucial to address these challenges effectively. Staying updated with the latest tools and best practices in the Hadoop ecosystem also helps in overcoming these obstacles.
What is the difference between Hdp vs Data Analyst?
| Aspect | Hdp | Data Analyst |
|---|---|---|
| Required Credentials | Typically requires a degree in computer science, data management, or related fields; certifications like HDP Certified Administrator are common | Requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst or Tableau are beneficial |
| Work Environment | Works with big data platforms, Hadoop ecosystem, and data infrastructure in data centers or cloud environments | Analyzes data sets, creates reports, and visualizations often in office or remote settings |
| Employer & Industry Usage | Used in tech companies, data-driven organizations, and industries handling large-scale data | Employed across various industries including finance, marketing, healthcare, and consulting |
Hdp (Hadoop Distributed Processing) focuses on managing and processing large data sets using Hadoop ecosystems, while Data Analysts interpret data, create reports, and support decision-making. Both roles require data-related skills but serve different functions within data management and analysis.
What are popular job titles related to Hdp jobs in Virginia?
For Hdp jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Hdp jobs in Virginia look for?
The top searched job categories for Hdp jobs in Virginia are:
Big Data SME
Richmond, VA • On-site
Ventures Unlimited Inc
Full-time
Re-posted 17 days ago
Job description
Company Description
Ventures Unlimited is a service centric organization. Our success begins with our ability to apply our relationships, leverage technologies, and identify talent - often in combination - to an endless array of real-world customer needs
Job Description
Position : Big Data SME
Location: Richmond, VA
Type : Full Time Permanent
Job Description :
Recently done a consulting engagement on new age technologies and should have earlier worked on hands-on delivery petabyte scale production engagement covering end-to-end SDLC on Big Data platform
- Excellent oral and written communication skills, including presentation experience, with mentoring abilities
- Expert in large data processing, storage & analytics using Big Data platforms - Hadoop, Storm, Spark, Map Reduce, Analytics, Yarn
- Helped multiple companies in laying out right big data solutions to achieve optimum return.
- Architected data platforms for Finance, Telecom, Media, Retail, MFT or Bank.
- Lead teams from various geographical regions.
- Worked on patents, ideas conceptualizing solutions, involved in implementation and bringing business on those lines.
- Technical Expertise - Hadoop, Cassandra, HBase, MongoDB, Spark, Pig, Hive, Storm, Kafka, Flume, Elastic Search, SOLR, Sqoop, Yarn
- Distributions - Datastax DSE, HortonWorks HDP, MapR, Cloudera
- Visualization/UI: Tableau, R, D3.js, Ext-Js, AngularJS, Jquery
Knowledge around - Data quality, Data Governance, Data lineage, Security, Metadata management, Scheduling on Hadoop Platform
*If you are comfortable with the position and location then please revert me back at the earliest with your updated resume and following details or I would really appreciate if you can call me back on my number.*
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In case you are not interested, I will be very grateful if you can pass this position to your colleagues or friends who might be interested.
Qualifications
Expert in large data processing, storage & analytics using Big Data platforms - Hadoop, Storm, Spark, Map Reduce, Analytics, Yarn
- Helped multiple companies in laying out right big data solutions to achieve optimum return.
- Architected data platforms for Finance, Telecom, Media, Retail, MFT or Bank.
- Lead teams from various geographical regions.
- Worked on patents, ideas conceptualizing solutions, involved in implementation and bringing business on those lines.
Additional Information
Contact "Rahul Kumar" for more details at 856-842-1988 Ext :157