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Hdp Jobs (NOW HIRING)

Jobsbridge

Hadoop Admin

Cupertino, CA · On-site

Company Description Jobsbridge We need a qualified consultant to upgrade a few large Hadoop clusters from Hortonworks HDP 1.3 to HDP 2.2. and 1. Should have good work Experience in HADOOP ...

krg technology inc

Hadoop Admin

Saint Louis, MO

Company Description Krg Tech inc 661 558 0000* 509 Experience with Hortonworks HDP version 2.x or higher Experience with creating and maintain Hive/Sqoop scripts Managing and maintaining Ambari ...

University of Utah

UU Student - Admin/Clerical

Campus, IL · On-site

$14/hr

  • Retirement

Maintain knowledge of HDP policies, housing processes, move-in/out timelines, and FERPA regulations. * Address concerns or complaints and escalate issues appropriately to professional staff. 2. ...

University of Utah

UU Student - Admin/Clerical

Campus, IL · On-site

$14/hr

  • Retirement

Maintain knowledge of HDP policies, housing processes, move-in/out timelines, and FERPA regulations. * Address concerns or complaints and escalate issues appropriately to professional staff. 2. ...

Arete Technologies, Inc.

Big Data Hadoop

Atlanta, GA · On-site

Job Details Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (Hortonworks HDP and HDF preferred). Lead Big Data engineering team with specialization on data ingestion (from ...

Deegit Inc

Hadoop Architect

Englewood, CO · On-site

Company Description • Design and Solution Architect experience in Hadoop platforms. • Strong experience in Hadoop Core components - HDFS, Pig , Hive on HDP platform. • Hands-on experience on ...

Jobsbridge

BigData Hadoop Developer

Des Plaines, IL · On-site

... BigInsights, HDP). Proficient in MapReduce, Hive, Flume, Sqoop Proficient in debugging hive, mapreduce,s qoop issue Strong Linux administration background and experience in troubleshooting and ...

Jobsbridge

Hadoop Administrator

Greensboro, NC · On-site

Supporting Hortonworks HDP Knowledge of Linux automation tools such as Puppet or Chef Configuring Hadoop in the cloud (Azure) Creating high quality documents Qualifications HDFS, HBASE,Puppet or Chef ...

Jireh Semiconductor

Equipment Technician-Nights

Hillsboro, OR · On-site

$36 - $55/hr

  • Medical

  • Dental

  • Life

Applied Materials Centura platform HDP, DxZ, DLH, RTPApplied Materials Endura platform PVD Al, SIP, CVD TiN, PVD TiNApplied Materials Centura/Endura platform robot maintenanceNovellus C2 Sequel ...

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Hdp information

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How much do hdp jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for hdp in the United States is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $60.34 per hour, depending on experience, location, and employer.

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?

AspectHdpData Analyst
Required CredentialsTypically requires a degree in computer science, data management, or related fields; certifications like HDP Certified Administrator are commonRequires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst or Tableau are beneficial
Work EnvironmentWorks with big data platforms, Hadoop ecosystem, and data infrastructure in data centers or cloud environmentsAnalyzes data sets, creates reports, and visualizations often in office or remote settings
Employer & Industry UsageUsed in tech companies, data-driven organizations, and industries handling large-scale dataEmployed 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.

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Hdp jobs near you
Infographic showing various Hdp job openings in the United States as of August 2026, with employment types broken down into 68% Full Time, 3% Part Time, 24% Contract, and 5% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Sr.Security Consultant

Gallega Software Solutions Inc

Hartford, CT • On-site

Contractor

Re-posted 27 days ago

Job description

Company Description
Job Description
Job Details below:
2) Environment Review
a) Verify OS and file system configuration
b) Review planned HDP environment and architecture
c) Discuss technology choices best suited to implement high-priority use-cases
3) Install Production Cluster
a) Install Ambari and HDP on up to 28 nodes
b) Configure cluster parameters based on hardware specification
c) Enable high availability mode for HDP components
(1) HDFS NameNode
(2) YARN ResourceManager
(3) Hive metastore
(4) Falcon
(5) Oozie
(6) Ambari
4) Install non-Prod Cluster
a) Mentor customer in installing a non-Prod HDP cluster on up to 28 nodes
5) Performance tuning
a) Run benchmarking tools for establishing an initial baseline
b) Use the available scripts to execute HIVE queries specific to customer environment
c) Iteratively apply configuration changes to maximize system performance
d) Automate platform benchmarks to execute daily
e) Develop dashboards to visualize benchmark results over time
6) Additional cluster hardening
a) Simulate HDFS/Hive/YARN failure scenarios and document corrective actions
b) Modify log4j properties for each component to delete old log files
(1) HDFS
(2) Ranger
(3) YARN
(4) Oozie
(5) Zookeeper
(6) Ambari
(7) Solr
(8) Hive
c) Automate hdfs landing zone and tmp directory cleanup
d) Check HDP health on a daily basis:
(1) Run service check on every HDP component before the start of day through Ambari REST API
(2) Store results into metrics database
(3) Visualize results over time
e) Automate backups of:
(1) HDFS snapshots
(2) Configuration files
(3) Ambari DB
(4) Hive metastore DB
(5) Oozie DB
7) Security Workshop
a) Conduct interviews regarding your desired level of security and control choices
b) Document current and future security state
c) Work with customer to determine users and groups who require access
d) Review currently enabled security features
e) Determine security needs for production and non-production environments
f) Document current state and high-level steps needed to attain future state
8) Connect HDP to centralized authentication service
a) Install and configure Apache Ranger
b) Enable Ranger to run in highly available mode
c) Enable HDP connectivity to LDAP provider such as Active Directory, FreeIPA, OpenLDAP or another provider
d) Create Kerberos principals and keytabs to authenticate HDP services
e) Create Kerberos principals for the users of HDP by working with a member of the Customer's security team
9) Create Authorization policies
a) Implement permissions to control read/write authority to directories in HDFS
b) Restrict read and write access to tables stored in Hive
c) Isolate workloads in YARN by mapping users and groups to differing queues
10) Enable centralized audit collection
a) Install Solr for audit log indexing and search capability
b) Enable centralized audit log collection for applicable HDP components
c) Develop dashboard to show number of granted/denied access attempts by time
d) Visualize number of denied attempts by HDP component
11) Enable data-at-rest encryption
a) Install and configure Ranger Key Management Service (KMS)
b) Enable encryption for up to five (5) individual directories in HDFS as identified by customer
12) Additional security work
a) Assist in enabling masking of data as it is accessed through Hive
b) Develop sample scripts showing how to connect to a Hive table with Kerberos authentication
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.

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