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Hadoop Python Jobs in Ohio (NOW HIRING)

E*Pro, Inc.

Hadoop Architect

Milford, OH · On-site

Java/J2EE, Linux, Apache, PHP, PEARL, Python, C, C++ MAPR, Hadoop, Hive, HBase, Pig, MapReduce and other Hadoop eco-system components NoSQL databases - Cassandra, MongoDB, MariaDB Data warehouse, BI ...

TEKFORTUNE INC

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

... Hadoop. Responsibilities : • 5+ Yrs of exp in Bigdata-Hive, Spark,AWS(Preferred) • Exp in programming language- Python, Spark • OS- Linux, Shell scripting • Database, SQL proficient • ...

InterSources Inc

Ab Initio Developer

Cleveland, OH · On-site

... in Python would be preferred. • Extensively worked on Teradata or Hadoop as database using Ab Initio as ETL tool for large scale data integration. • Good understanding of data warehouse and ...

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

... R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc) * Knowledge of Big Data landscape as demonstrated through experience or certification. Eg., Hadoop, Spark, Hive, Pig ...

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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 Ohio?

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

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

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

What cities in Ohio are hiring for Hadoop Python jobs?

Cities in Ohio with the most Hadoop Python job openings:

Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution.

Hadoop Platform Admin

Syntricate Technologies

Strongsville, OH • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Hadoop Platform Admin to support their Big Data platform. The role involves monitoring Hadoop clusters, implementing change tasks, and collaborating with vendors for issue resolution.
Responsibilities:
• Hadoop Admin, Hadoop Big Data Platform support, , Python, Linux, CA7, Monitoring tools like Dynatrace, Monpo, Logscale, Grafana.
• Excellent Communication, Analytical Skills
• Hadoop Platform Admin: Hadoop Cluster monitoring, issue analysis and work with vendor/Cloudera if required.
• Change tasks implementation which includes permissions change, file deletion , folder creation, space cleanup, Prod and DR sync up, data transfer from QA to Prod and Prod to QA etc.
• Clear communication and the ability to understand and communicate business impacts.
• BigData and Hadoop Ecosystems, Python, Cloudera Hadoop Administrator
Qualifications:
Required:
• 10+ Years of experience
• Hadoop Admin experience
• Hadoop Big Data Platform support
• Python programming skills
• Linux operating system knowledge
• Experience with CA7
• Familiarity with monitoring tools like Dynatrace, Monpo, Logscale, Grafana
• Excellent Communication skills
• Analytical Skills
• Hadoop Cluster monitoring experience
• Issue analysis and vendor communication (Cloudera)
• Change tasks implementation including permissions change, file deletion, folder creation, space cleanup, Prod and DR sync up, data transfer from QA to Prod and Prod to QA
• Ability to understand and communicate business impacts
• Experience with BigData and Hadoop Ecosystems
• Cloudera Hadoop Administrator experience
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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