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Hadoop Python Jobs in California (NOW HIRING)

Node.JS Engineer

San Diego, CA · On-site

$54.50 - $70.25/hr

Also familiar with Python, Ruby, or Go - Familiar with HTML, CSS, JavaScript, jQuery Qualifications Node.JS, JavaScript, Ruby on Rails, AWS, Cassandra, Hadoop, Python, MongoDB Additional Information ...

Familiar with Hadoop tools/languages such as Python, Pig, Hive, Hadoop Streaming, Sqoop, Oozie, etc. Solid understanding of MapReduce and how the Hadoop Distributed File System work. Experience with ...

Company Description Intelliswift Software, Inc 7+ years of hands-on programming experience with 4+ years in Hadoop platform Proficiency with Java and one of the scripting languages like Python ...

Familiar with Hadoop tools/languages such as Python, Pig, Hive, Hadoop Streaming, Sqoop, Oozie, Spark, Flume, Kafka, etc. Solid understanding of MapReduce and how the Hadoop Distributed File System ...

MS/BS degree in a computer science field or related discipline Good experience in large-scale software development Experience in Hadoop Strong Java programming, shell scripting, Python, and SQL ...

Familiar with Hadoop tools/languages such as Python, Pig, Hive, Hadoop Streaming, Sqoop, Oozie, Spark, Flume, Kafka, etc. Solid understanding of MapReduce and how the Hadoop Distributed File System ...

Proficient in shell and Perl, python scripting Experience in setup, configuration and management of security for Hadoop clusters. Manage and monitor Hadoop cluster and platform infrastructure ...

... Ruby or Python and Shell Scripting(TCL) 3. Should have knowledge of Linux Administration and Architecture 4. Hadoop Hortonworks upgrade experience Qualifications Hortonworks HDP 1.3 to HDP 2.2 ...

... or Python Experience deploying new Hadoop infrastructure, Hadoop cluster upgrades, and cluster maintenance Experience developing Hadoop integrations for data ingestion, data mapping and data ...

... or Python and Shell Scripting(TCL) 4) Should have knowledge of Linux Administration and ... Hadoop Hortonworks upgrade experience 6) Hive,Oozie,Spark,Nagio,Ambari and all BigData related ...

... hadoop compute clusters and petabyte data stores. 1 year of experience using spark data stack for ... Hands-on programming expertise in java, python, sql (scala a plus) Best practices of data ...

... Hadoop cluster configuration and tuning Hands-on experience with major big data technologies ... Experience developing data tools with Python, Java. Experience with data analysis using Machine ...

Linux, C, C++, Java, Perl, Python, RoR, Node.js and more * Candidate's knowledge and skills should ... Hadoop, Java, JavaScript, HTML, XML, Oracle, MySQL, PHP, Perl, .net, C, C++, C#, XML/XSD/XSLT, JSP ...

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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 job categories do people searching Hadoop Python jobs in California look for? The top searched job categories for Hadoop Python jobs in California are:
What cities in California are hiring for Hadoop Python jobs? Cities in California with the most Hadoop Python job openings:

Data Engineer (Hadoop / Python)

Atria Group LLC

San Francisco, CA

Full-time

Posted yesterday


Job description

Company Description


 

Job Description

Required Skills:

   At least 8 years of experience in end to end data integration/data warehousing implementations and at project experience with large data volumes.
   Hands-on Hadoop / Hive implementation / data movement experience
   Scripting in the following languages: Linux shell and Python
   Strong SQL development experience to support data integration and analysis
   Strong hands-on, high volume, performance tuning DW experience
   Vertica experience a plus
   Self-sufficient in extremely technical, high pace and exploratory environment    
   B.S. degree in CS / EE. Higher level degree is a plus

Location: San Francisco, CA
Duration: 6+ Months

Additional Information


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