ZipRecruiter

Log In

1

Hadoop Python Jobs in Oregon (NOW HIRING)

ConnectWise

OR · On-site

... Python, Java, or Scala. - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). - Strong leadership and communication skills, with the ...

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

... Python and Spark that meet all functional & non-functional requirements • Develop efficient ... Minimum Qualifications • 5+ years working as data engineer / database developer (Hadoop, cloud ...

Arka Infotech Inc

OR

... Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL, NOSQL They need to have an understanding of Hadoop, DataStax Cassandra, Apache Spark, DSE, Solr, HBase, Pig, Hive, Sqoop, MongoDB and/or MapReduce ...

Smarsh

Linux DevOps Engineer

Portland, OR · On-site

... Python preferred) Experience working with relational databases (MS SQL and MySQL preferred) Strong troubleshooting skills Experience using Agile/Scrum methodologies Experience with Solr or Hadoop a ...

Eyecarecenterofsalem

Data Scientist

Portland, OR

... Python; familiarity with Scala, Java, or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math ...

Liberty Mutual

$110K - $155K/yr

... Python, Perl, Shell), and the Hadoop stack * Principal: 5-7 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in ...

phData

Solutions Architect

OR · Remote

$63 - $83/hr

Programming expertise in Java, Python and/or Scala * Core cloud data platforms including Snowflake ... Snowflake, AWS, Azure, GCP, Hadoop, Databricks * Cloud and Distributed Data Storage: S3, ADLS, HDFS ...

Netflix

OR

$380K - $610K/yr

... as python, scala or java as well data exploration using sql Expert at building performant data pipelines and optimizing existing workflows for new features Big Data tech - Hadoop, Spark, Flink ...

Smarsh

DevOps Team Lead

Portland, OR · On-site

$56 - $76.50/hr

... Python preferred) • Experience working with relational databases (MS SQL and MySQL preferred) • ... Openstack, AWS, Hadoop a bonus • Experience using Agile/Scrum methodologies Additional ...

RevSpring

Software Engineer - ETL, Java

Portland, OR · On-site

... with Python (required) * Knowledge and understanding of complex data pipelines utilizing ETL ... Google Dataflow (Apache Beam SDK) (equivalent Hadoop technologies) * BigQuery (equivalent of any ...

next page

Showing results 1-20

All JobsHadoop Python JobsHadoop Python Jobs in Oregon

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

Data Engineer

Rootshell Enterprise Technologies, Inc.

Portland, OR • On-site

$120K - $144K/yr

Full-time

Posted 4 days ago

Job description

Hi All,
Hope you are doing great!
This is Himabindu from Rootshell Inc. We have an immediate need for below mention requirement, if you feel that you are a perfect match to this requirement, please forward your most updated resume along with the best time and number to carry out further discussions.
Looking forward to hear from you...
Role: Big Data Engineer
Location: Portland OR
Position:Long term
Role Expectations:
Strong experience in Scala or Python.
Experience building domain-driven microservices.
Experience with data modeling in different data stores and the Hadoop ecosystem. -
Experience working with data stores such as Snowflake, DynamoDB, etc. -
Experience working with Big Data frameworks such as Spark, Hive, Nifi, Spark-streaming, Kinesis, Kafka, etc. -
Experience with performance and scalability tuning. -
Experience working with schema evolution, serialization, and validation with file formats such as JSON, Parquet, Avro, etc.
Experience working in the AWS environment, specifically S3 and EMR. - Experience working with Airflow.
Familiarity with practices such as CI/CD and Automated testing.
Agile/Scrum Application development experience.
An interest in artificial intelligence and machine learning.

Apply