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Hadoop Python Jobs in Arizona (NOW HIRING)

BigData Developer

Phoenix, AZ · On-site

$51.50 - $67/hr

Big Data /Hadoop , SPARK , Python , Strong SQL ,GCP Roles & Responsibilities: Develop and maintain data pipelines using BigData processes Focus on ingesting, storing, processing, and analyzing large ...

... Hadoop (MapR, Cloudera) dev ops scripting/automation - unix bash shel, python, chef Qualifications Bachelor's Additional Information All your information will be kept confidential according to EEO ...

... Hadoop (MapR, Cloudera) dev ops scripting/automation - unix bash shel, python, chef Qualifications Bachelor's Additional Information All your information will be kept confidential according to EEO ...

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Big Data

Phoenix, AZ

$52.50 - $68.25/hr

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Strong understanding of Hadoop fundamentals * Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

AI ML Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Programming Languages Python Pandas NumPy Scikitlearn SQL * Statistical Modeling Machine Learning ... Big Data Technologies Spark Hadoop basic understanding * Cloud Platforms Azure or AWS especially ...

Big Data/Cloud Consultant

Phoenix, AZ

$58 - $79.25/hr

At least 2 years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive ... Development experience in Java, Python, Scala. * Experience in cloud technologies preferred - AWS ...

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Hadoop Python information

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.

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 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 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 popular job titles related to Hadoop Python jobs in Arizona? For Hadoop Python jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Arizona look for? The top searched job categories for Hadoop Python jobs in Arizona are:
What cities in Arizona are hiring for Hadoop Python jobs? Cities in Arizona with the most Hadoop Python job openings:

Big Data Engineer (Java or Python)

Purple Drive Technologies

Phoenix, AZ • On-site

$55.25 - $73.25/hr

Full-time

Posted 7 days ago


Job description

Overview:
Job Description:
Required Skills:
6+ years of software development experience and leading teams of engineers and scrum teams
3+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark) Solid Datawarehousing concepts,Knowledge of Financial reporting ecosystem will be a plus
Expert on Distributed ecosystem Hands-on experience with programming using Core Java or Python/Scala,Expert on Hadoop and Spark Architecture and its working principle Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data Experience in UNIX shell scripting Ability to design and develop optimized Data pipelines for batch and real time data processing. Should have experience in analysis, design, development, testing, and implementation of system application. Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.
Preferred Qualifications: Knowledge of cloud platforms like GCP/AWS, building Microservices and scalable solutions, will be an advantage,1 + years of experience in designing and building solutions using Kafka streams or queues. Experience with GitHub/Bitbucket and leveraging CI/CD pipelines ,Experience with NoSQL i.e., HBase, Couchbase, MongoDB is good to have Excellent technical and analytical aptitude,Good communication skills, Excellent Project management skills. Results driven