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Hadoop Python Jobs in Oregon (NOW HIRING)

Ventures Unlimited Inc

Hadoop Lead

Beaverton, OR · On-site

Hadoop Lead with Python Location: Beaverton, OR Duration: Full Time : Responsibilities: Design and implement map reduce jobs to support distributed processing using java, python, hive and pig;

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR

... cascading, python, hive and pig; Ability to design and implement end to end solution. Build ... Hadoop Research, evaluate and utilize new technologies/tools/frameworks around Hadoop eco system ...

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR · On-site

... python, hive and pig; Ability to design and implement end to end solution. • Build libraries ... Hadoop • Research, evaluate and utilize new technologies/tools/frameworks around Hadoop eco ...

TestingXperts

Big Data Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

... Python Spark. At least 2 years Hands on experience in the Big Data ecosystem HDFS, Map Reduce, Hive, HBase, etc. Experience working on large data sets Working experience with large scale Hadoop ...

BizTek People

AWS Software Engineer

Beaverton, OR · On-site

Experience programming with AWS lambda, java, Python, node.js, Bash, REST APIs, and JSON encoding ... Hadoop : 1 year operational experience with the Hadoop stack (MapReduce, Spark, Sqoop, Hive, Impala ...

Collabera

Cloud Software Engineer (W2 Only)

Hillsboro, OR

$65.25 - $85/hr

Chef/Ruby Python * MS SQL * At least one big data implementation (e.g. Hadoop, MongoDB, ElasticSearch, etc.) * Expertise in both Windows and Linux platforms * Testing technologies experience Selenium

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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 are popular job titles related to Hadoop Python jobs in Oregon? For Hadoop Python jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Oregon look for? The top searched job categories for Hadoop Python jobs in Oregon are:
Hadoop Python jobs near you
Hadoop Lead

Hadoop Lead

Ventures Unlimited Inc

Beaverton, OR • On-site

Full-time

Posted 15 days ago

Job description

Company Description

Ventures Unlimited is a service centric organization. Our success begins with our ability to apply our relationships, leverage technologies, and identify talent - often in combination - to an endless array of real-world customer needs


Job Description

                                            **** FULL TIME PERMANENT POSITION******

Position : Hadoop Lead with Python
Location:  Beaverton, OR
Duration: Full Time

Job Description : 
Responsibilities:
    Design and implement map reduce jobs to support distributed processing using java, python, hive and pig; Ability to design and implement end to end solution.
    Build libraries, user defined functions, and frameworks around Hadoop
    Research, evaluate and utilize new technologies/tools/frameworks around Hadoop eco system
    Develop user defined functions to provide custom hive and pig capabilities
    Define and build data acquisitions and consumption strategies
    Define & develop best practices
    Work with support teams in resolving operational & performance issues
    Work with architecture/engineering leads and other teams on capacity planning
    Work with Site-Operations team on configuration/upgrades of the cluster
    Excellent communication skills
Qualification:
    MS/BS degree in a computer science field or related discipline
    8+ years' experience in large-scale software development
    Experience  with data warehousing, dimensional modeling and ETL development
    Strong Java programming, shell scripting, Python, and SQL
    Strong development skills around Hadoop, MapReduce, Hive, Pig, Impala
    Strong understanding of Hadoop internals
    Good understanding of AVRO and Json
    Experience with build tools such as Maven
    Experience with databases like Oracle;
    Experience with performance/scalability tuning, algorithms and computational complexity
    Experience (at least familiarity) with data warehousing, dimensional modeling and ETL development
    Ability to understand and ERDs and relational database schemas
    Proven ability to work cross functional teams to deliver appropriate resolution
    Experience with open source NOSQL technologies such as HBase and Cassandra
    Experience with messaging & complex event processing systems such as Kafka and Storm
    Machine learning framework (Nice to have)
    Statistical analysis with Python, R or similar

Qualifications

    MS/BS degree in a computer science field or related discipline
    8+ years' experience in large-scale software development
    Experience  with data warehousing, dimensional modeling and ETL development
    Strong Java programming, shell scripting, Python, and SQL
    Strong development skills around Hadoop, MapReduce, Hive, Pig, Impala

Additional Information

Contact "Mohit Maurya" for more details at 856-842-1988 Ext:141

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