ZipRecruiter

Log In

1

Hadoop Python Jobs in Arizona (NOW HIRING)

SonSoft

Hadoop Developer

Phoenix, AZ · On-site

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 ...

Sonsoft Inc

Hadoop Developer

Phoenix, AZ · On-site

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 ...

Sonsoft Inc

Hadoop Developer

Phoenix, AZ

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 ...

Sonsoft Inc

Hadoop Developer

Phoenix, AZ

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 ...

SonSoft

Hadoop Analyst

Phoenix, AZ · On-site

Hadoop Analyst Sonsoft, Inc. is a USA based corporation duly organized under the laws of the ... Strong understanding and hands-on programming/scripting experience skills - preferably Python, Perl ...

InterSources

Hadoop Developer

Scottsdale, AZ · On-site

Hadoop Developer Contract Scottdale, AZ 6+ years of industry work experience Experience extracting ... Experience with object-oriented programming using Python and its design patterns. Experience ...

Sonsoft Inc

Hadoop Developer

Phoenix, AZ · On-site

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 ...

Sonsoft Inc

Hadoop Developer

Phoenix, AZ

Strong understanding of hadoop fundamentals * Strong understanding of RDBMS concepts and experience ... Strong understanding and hands-on programming/scripting experience skills - preferably Python, Perl ...

Sonsoft Inc

Hadoop Developer

Phoenix, AZ

Strong understanding of hadoop fundamentals * Strong understanding of RDBMS concepts and experience ... Strong understanding and hands-on programming/scripting experience skills - preferably Python, Perl ...

Sonsoft Inc

Hadoop Analyst

Phoenix, AZ

Strong understanding of hadoop fundamentals * Strong understanding of RDBMS concepts and experience ... Strong understanding and hands-on programming/scripting experience skills - preferably Python, Perl ...

SonSoft

Big Data Hadoop Developer

Phoenix, AZ · On-site

Big Data Hadoop Developer SonSoft is an IT Staffing and consulting firm and duly organized under ... Strong understanding and hands-on programming/scripting experience skills - preferably Python, Perl ...

Sonsoft Inc

Big Data / Hadoop Consultant

Phoenix, AZ

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 ...

Sonsoft Inc

Big Data Hadoop Developer

Phoenix, AZ

Big Data Hadoop Developer (with experience on PIG, Hive, MapReduce, HDFS, HBase, Hive, YARN, Impala ... Strong understanding and hands-on programming/scripting experience skills - preferably Python, Perl ...

Sonsoft Inc

Big Data Hadoop Consultant

Phoenix, AZ

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 ...

Sonsoft Inc

Big Data/Hadoop Developer

Phoenix, AZ

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... preferably Python, Perl, Javascript, UNIX shell Should have worked on large data sets and ...

next page

Showing results 1-20

All JobsHadoop Python JobsHadoop Python Jobs in Arizona

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 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:
Hadoop Python jobs near you
Hadoop Admin

Hadoop Admin

Avani Technology Solutions, Inc.

Phoenix, AZ • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are looking for a Hadoop Admin for a contract that can last for years.
Position : Hadoop Admin
Location : Phoenix, AZ
Duration : 6 Months plus
This will be purely Hadoop administration NOT development with exposure to the Map-R distribution system and about 60% proficiency in Linux administration. Here is a little bit more about the position:
Top Three Skills:
1. Hadoop Administration (NOT hadoop development) and Map-R (map-reduce)
2. 50-60% Proficiency in Linux Administration
Nice to Have: automation skills
  1. Responsible for implementation and support of the Enterprise Hadoop environment.
  2. Involves designing, capacity planning, cluster set up, monitoring, structure planning, scaling and administration of Hadoop components ((YARN, MapReduce, HDFS, HBase, Zookeeper, Storm, Kafka, Spark, Pig and Hive)
  3. Work closely with infrastructure, network, database, business intelligence and application teams to ensure business applications are highly available and performing within agreed on service levels.
  4. Accountable for performance tuning and resource management of Hadoop clusters and MapReduce routines.
  5. Strong Experience with LINUX based systems & scripting (either of Shell, Perl or Python).
  6. Experience with configuration management tools like puppet, chef or salt.
  7. Strong Experience with Configuring Security in Hadoop using Kerberos or PAM.
  8. Good knowledge of directory services like LDAP & ADS and Monitoring tools like Nagios or Icinga2.
  9. Strong troubleshooting skills of Hive, Pig, Hbase and JAVA Mapreduce codes/jobs.
  10. Evaluate technical aspects of any change requests pertaining to the Cluster.
  11. Research, identify and recommend technical and operational improvements resulting in improved reliability efficiencies in developing the Cluster.

For this role, they will be digging in on how much the hadoop admins knows from an architecture perspective, and asking if they're hands on.. this is not a code monkey job. The team will be trying to see what the candidates understand, and what they've actually.
If they have Map-R that's a plus, or any other distribution, if they understands the distribution architecture they will be fine
This role will involve a lot of hands on scripting, at least shell scripting and good linux skills and configuration and performance tuning, and integration, and Hadoop eco system tools.

Apply