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Hadoop Python Jobs in Illinois (NOW HIRING)

... Python) Experience in developing any test automation scripts in Hadoop environment Additional Information All your information will be kept confidential according to EEO guidelines.

Skill BigData Hadoop Developer Location Des Plaines, IL Total Experience 8 yrs. Max Salary Not ... python) Good analytical skills. Additional Information Multiple Openings for GC/Citizen

... Python . . . any J2EE development background) 4. Cloudera or Hadoop 5. A Strong opinion regarding Avro & Parquet Additional Information If my requirement matches your resume, then please do reply on ...

... and Hadoop storage and analysis. -Successful candidates have experience with dynamic languages such as Python or Perl as well as static languages like C, Java or Go. -Network and system ...

... and Hadoop storage and analysis. -Successful candidates have experience with dynamic languages such as Python or Perl as well as static languages like C, Java or Go. -Network and system ...

Strong hands-on experience with Talend (ETL), IBM DataStage, Python (pandas| PySpark| API integrations), Big Data technologies (Spark| Hadoop| Hive| Kafka). Expertise in data engineering design ...

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

... Hadoop-based platforms such as Cloudera Hadoop, or Hortonworks Data Platform or Spark based ... Python, SQL NoSQL, and Spark. • Ability to manage multiple projects essential. • Ability to ...

Chicago IL Jobs, Data Science Developer, Python Scripting, Perl, SQL, Postgres, MySQL, JavaScript MVC Framework, Hadoop, Software Engineer, Software Developer, Programming, Programmer Analyst ...

Senior UI Developer

Chicago, IL · On-site

$61.75 - $80/hr

Hadoop for analytics Requirements * Programming languages: experience on Java is a must, shell scripting languages such Python are nice to have. * Runtimes / Application servers - One of the ...

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Hadoop Python information

Is Hadoop a good career?

Hadoop Python roles involve working with big data processing using Hadoop frameworks and Python programming. These jobs are in demand in data-driven industries, often requiring knowledge of distributed systems, data analysis, and related tools like Spark or Hive. Careers in this field can offer growth opportunities with relevant certifications and experience in data engineering or analytics.

Does Hadoop work with Python?

Hadoop can work with Python through tools like Hadoop Streaming, which allows developers to write MapReduce jobs in Python. Additionally, frameworks such as PySpark enable Python integration with Apache Spark, often used alongside Hadoop for big data processing. Knowledge of these tools is valuable for Hadoop Python roles.

What are the key skills and qualifications needed to thrive as a Hadoop Python Developer, and why are they important?

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.

What is the highest paying job in Python?

The highest paying Python-related jobs include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or scikit-learn. These positions typically offer salaries exceeding $120,000 annually, especially with experience and relevant certifications.

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 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 is the salary of Hadoop engineer?

The salary of a Hadoop engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in big data tools and programming languages like Python can command higher salaries in this field.

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 cities in Illinois are hiring for Hadoop Python jobs? Cities in Illinois with the most Hadoop Python job openings:
Hadoop Tester

Full-time

Posted 6 days ago


Job description

Company Description

Krg Tech inc

661 558 0000* 509

Job Description

Job Description:

Candidate should have minimum 8 years of Experience in Big data testing .

Candidate should have minimum 3 years of Experience in ETL testing .

5 years of Hands on Experience in Big data technologies (Hadoop, Hive, HBase etc.) testing complex Big data systems

Experience in testing ETL applications (e.g.: DB2, Oracle, MySQL)

Expertise in developing SQL for validating complex data transformation

Experience in Unix Platforms, shell scripting and Knowledge of CI/CD Tools (Get, Jenkins, Bamboo)

Good to have data Analytics Skill Set and Knowledge on Some Data Science Predictive Algorithms

Hands on Experience in scripting Languages (Java or Python)

Experience in developing any test automation scripts in Hadoop environment

Additional Information

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


KRG Technologies logo

About KRG Technologies

Sourced by ZipRecruiter

KRG Technologies was founded with a simple motive of offering the clients exactly what they want, how they want and when they want. By leveraging for its clients its technological edge and right-sourcing advantage, KRG in a short period of time has grown to become one of the most trusted strategic technology partners. Treating every client as the top priority, we customize our solutions and services to align with the unique needs of each client. Headquartered in Valencia, California, KRG employs a unique global delivery platform to minister its offerings spanning from application development and maintenance to business process reengineering. With years of hands-on domain experience and international presence, we offer state-of-the-art solutions backed by our follow-the-sun service model in the most cost effective manner. We value our clientele for the trust reposed in us and our clientele admire us for our personalized approach and deep commitment to their success. Our biggest strength lies in technical expertise of our team and individual competency of our employees, which enables us to be the most befitting solution provider.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Valencia, CA, US

Year founded

2003

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