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Hadoop Python Jobs in North Carolina (NOW HIRING)

PySpark, Hive, Python, SQL Secondary: Unix, Kafka, Java Roles & Responsibilities We are seeking a highly experienced Hadoop Spark Developer with 10+ years of expertise in Big Data technologies ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Proficiency in SQL, Shell scripting, and Python automation. * Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong data analysis, troubleshooting, and root cause ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures. * Experience with some framework building experience on Hadoop * Very good ...

Hadoop Consultant Location : Raleigh, NC Duration: Contract/Full Time • Bachelors (IT/Computer ... Python, Scala etc. • Experience with SQL, NoSQL, relational database design, and methods for ...

Hadoop Consultant Location : Raleigh, NC Duration: Contract/Full Time Bachelors (IT/Computer ... Python, Scala etc. Experience with SQL, NoSQL, relational database design, and methods for ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Showing results 21-40

Hadoop Python information

What is a Hadoop Python developer?

A Hadoop Python developer is a software professional who specializes in using Python programming language to develop, implement, and maintain applications that process and analyze large datasets within the Hadoop ecosystem. They leverage Python libraries like PySpark to write scalable data processing scripts, interact with Hadoop components such as HDFS, and optimize big data workflows. These developers play a critical role in building data pipelines, performing data transformation, and supporting analytics projects in organizations that handle vast amounts of data.

What are the key skills and qualifications needed to thrive as a Hadoop Python developer?

To thrive as a Hadoop Python Developer, you need a strong understanding of distributed computing, Hadoop ecosystem components (like HDFS, MapReduce, Hive, or Pig), and advanced Python programming skills, often supported by a degree in computer science or related field. Familiarity with tools such as Apache Spark, Sqoop, and workflow schedulers (like Oozie or Airflow), along with experience in handling big data platforms, is typically required. Problem-solving abilities, attention to detail, and effective communication help developers collaborate with teams and translate business requirements into scalable data solutions. These skills and qualifications are essential for efficiently processing and analyzing large datasets, ensuring data reliability, and driving business insights.

How do Hadoop Python developers typically collaborate with data engineers and analysts on large-scale data projects?

Hadoop Python developers frequently work alongside data engineers and analysts to design, implement, and optimize data pipelines for handling vast datasets. They are responsible for writing Python scripts that interface with Hadoop components, ensuring data is processed efficiently and meets project requirements. Regular communication with data engineers helps align on infrastructure and architectural decisions, while close collaboration with analysts ensures data outputs are accurate and actionable. Agile methodologies and daily stand-ups are common, fostering teamwork and quick problem-solving.

What is the difference between Hadoop Python vs Hadoop Java Developer?

AspectHadoop PythonHadoop Java Developer
Required CredentialsPython programming skills, Hadoop certificationsJava programming skills, Hadoop certifications
Work EnvironmentData analysis, scripting, data pipeline developmentCore development, system integration, big data application coding
Industry UsageData science, analytics, machine learning projectsData infrastructure, platform development, system optimization

Hadoop Python and Hadoop Java Developer roles both involve working with Hadoop ecosystems, but Python focuses more on data analysis and scripting, while Java is geared towards core development and system integration. The choice depends on your programming expertise and career goals within big data environments.

What are jobs in Hadoop Python?

Jobs in Hadoop Python typically involve developing and maintaining data processing tasks using Python scripts within the Hadoop ecosystem. These roles often require knowledge of Hadoop frameworks like MapReduce or Spark, along with Python programming skills, to handle large-scale data analysis and processing tasks. They may also involve working with distributed systems and data pipelines in a big data environment.

What are popular job titles related to Hadoop Python jobs in North Carolina?

For Hadoop Python jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Hadoop Python jobs in North Carolina look for?

The top searched job categories for Hadoop Python jobs in North Carolina are:

What cities in North Carolina are hiring for Hadoop Python jobs?

Cities in North Carolina with the most Hadoop Python job openings:

Infographic showing various Hadoop Python job openings in North Carolina as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 8% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Hadoop developer with Java

TekShapers

Charlotte, NC • On-site

Other

Posted 15 days ago


Job description

Employment type – Full Time

Job Title – Hadoop developer with Java

Job Location – Charlotte, NC

Duration – Full Time

Experience level – 07+ Years

Mandatory Skills – Hadoop developer with Java

Job Description –

Must Have Technical/Functional Skills

Primary Skill: PySpark, Hive, Python, SQL

Secondary: Unix, Kafka, Java

Roles & Responsibilities

We are seeking a highly experienced Hadoop Spark Developer with 10+ years of expertise in Big Data technologies, including PySpark, Hadoop Ecosystem, Hive, and Python. The ideal candidate will be responsible for designing, developing, optimizing, and maintaining large-scale data processing solutions.

Experience with Microsoft Copilot for AI-assisted development and productivity enhancement is highly desirable. The developer should hold a bachelor's or master's degree.

The candidate should possess strong analytical skills, hands-on experience in distributed data processing, and the ability to work closely with business stakeholders, architects, and data engineering teams.

· Design, develop, and maintain scalable Big Data solutions using Hadoop and Spark.

· Build and optimize ETL/ELT pipelines using PySpark, Hive, and Python.

· Process and analyze large datasets in distributed environments.

· Develop high-performance Spark jobs and optimize existing workloads.

· Create and manage Hive tables, partitions, views, and complex queries.

· Implement data quality, data validation, and reconciliation frameworks.

· Perform code reviews and ensure adherence to coding standards and best practices. 

· Utilize Microsoft Copilot to accelerate development, automate code generation, troubleshooting, documentation, and testing activities. 

· Strong experience building both batch and real-time streaming applications with Kafka. 

· Collaborate with Data Architects, Data Scientists, Business Analysts, and DevOps teams. 

· Troubleshoot production issues and perform root cause analysis. 

· Design data ingestion frameworks for structured, semi-structured, and unstructured data. 

· Participate in Agile ceremonies including sprint planning, estimation, and retrospectives. 

· Mentor junior developers and provide technical leadership.

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.