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Hdp Jobs in Georgia (NOW HIRING)

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 ...

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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?

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.

What are popular job titles related to Hdp jobs in Georgia?

For Hdp jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Hdp jobs in Georgia look for?

The top searched job categories for Hdp jobs in Georgia are:

Hdp jobs near you
Infographic showing various Hdp job openings in Georgia as of August 2026, with employment types broken down into 64% Full Time, 5% Part Time, 24% Contract, and 7% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Big Data Hadoop

Arete Technologies, Inc.

Atlanta, GA • On-site

Contractor

Re-posted 21 days ago

Job description

Company Description

Arete Technologies, Inc. offers set of innovative Consulting and Outsourcing services, bridging the gap between requirements and outputs of various dexterous and facile companies worldwide. The thrust of providing global deliverables with focus on providing paramount and unsurpassed services combined with cost saving solutions to the clients
We understand the business requirements in the present day corporate scenario and aspire to provide world-class services enabling the organization to burgeon and flourish while keeping the work-life balance intact. The Global delivery mechanism followed at Arete Technologies, Inc. saddles proficient schemas and unconventional channels to provide one-stop solutions for all your workforce needs.
our Team is an exquisite amalgamation of vast experiences of over 30 years in IT Consulting and Staffing industry. Connoisseurs in the field of staff augmentation for IT, we operate on 24 by 7 model with an aim of providing affordable and adept professionals with an assurance of satisfaction for both Consultants and Clients.
We are pre-eminent service providers in the field of staff augmentation, IT Consultancy, Software development, Web Development providing unexcelled services and focusing on both the employers and employees.

Job Description

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 100+ source systems in batch and near real-time), egestion and governance.
Participate in collaborative software and system design and development of the new NCR Data Lake on Hortonworks HDP and HDF distributions.
Manage own learning and contribute to technical skill building of the team.
Inspire and cultivate the engineering mindset and systems thinking.
Gain deep technical expertise in the data movement patterns, practices and tools.
Play active role in Big Data Communities of Practice.
Put the minimal system needed into production.
Required Qualifications
Bachelor's degree or higher in Computer Science or a related field.
Good understanding of distributed computing and big data architectures.
Passion for software engineering and craftsman-like coding prowess.
Proven experience in developing Big Data solutions in Hadoop Ecosystem using Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (Hortonworks HDP and HDF preferred).
Experience with at least one of the leading CDC (Change Data Capture) tools like Informatica PowerCenter.
Development experience with at least one NoSQL database. HBase or Cassandra preferred.
Polyglot development (4-5 years+): Capable of developing in Java and Scala with good understanding of functional programming, SOLID principles and, concurrency models and modularization.
DevOps: Appreciates the CI and CD model and always builds to ease consumption and monitoring of the system. Experience with Maven (or Gradle or SBT) and Git preferred.
Experience in Agile development including Scrum and other lean techniques.
Should believe in You Build! You Ship! And You Run! Philosophy.
Personal qualities such as creativity, tenacity, curiosity, and passion for deep technical excellence.
Desired Qualifications
Experience with Big Data migrations/transformations programs in the Data Warehousing and/or Business Intelligence areas.
Experience with ETL tools like Talend, Pentaho, Attunity etc.
Knowledge of Teradata, Netezza etc.
Good grounding in NoSQL data stores such as Cassandra, Neo4j etc.
Strong knowledge on computer algorithms.
Experience with workload orchestration and automation tools like Oozie, Control-M etc.
Experience in building self-contained applications using Docker, Vagrant. Chef.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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