ZipRecruiter

Log In

1

Hadoop Python Jobs in Texas (NOW HIRING)

Samprasoft

Data Engineer - AWS, Python, SQL

Roanoke, TX

$109K - $132K/yr

... Graph database), Hadoop ecosystem (Hadoop, Hive, Sqoop, Flume, HBase), API and in-memory ... Experience in Java, Python, Unix scripting or related programming languages. Understanding Machine ...

Sonsoft Inc

Apache Hadoop with Java

Plano, TX · On-site

At least 4 years of Hands-on experience working on Bigdata / Hadoop Distribution * At least 2 years ... Knowledge of scripting languages like Python and Shell scripting. * Knowledge of data processing ...

next page

Showing results 1-20

All JobsHadoop Python JobsHadoop Python Jobs in Texas

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 Texas? For Hadoop Python jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Texas look for? The top searched job categories for Hadoop Python jobs in Texas are:
What cities in Texas are hiring for Hadoop Python jobs? Cities in Texas with the most Hadoop Python job openings:
Hadoop Python jobs near you
Infrastructure Engineer Consultant Hadoop

Infrastructure Engineer Consultant Hadoop

ONE Elite Staffing

Richardson, TX • On-site

$97K - $128K/yr

Other

Posted 9 days ago

Job description

Job Title: Infrastructure Engineer Consultant Hadoop

Job Purpose:

  • This position is responsible for collaborating with Solutions Engineering, Infrastructure Operations, and Infrastructure Service Management teams
  • in the design and build of infrastructure solutions/blueprints for the area of responsibility.
  • Participating in the design and build of repeatable patterns (build-kits) to improve deployment for non-prod and prod environments.
  • Transitioning knowledge to Infrastructure Operations.

Required Job Qualifications:

  • Bachelor's Degree and 5 years in Information Technology or relevant experience or;
  • Technical Certification and/or College Courses and 7-year Information Technology experience or;
  • 9 years Information Technology experience.
  • Have hands-on experience in working with Hadoop distribution platforms like Hortonworks, Cloudera, and others.
  • Candidate should be ready for Hadoop on-call support if and when needed.
  • Expert in implementing and troubleshooting Hive, Pig, Storm, Kafka, Nifi, Elastic Search, Solr, HBase applications.
  • Working knowledge of Ruby or Python and known DevOps tools like Git and GitHub.
  • Experience in a scripting language to automate Infrastructure deployment tasks.
  • Ability to simplify & standardize complex concepts/processes.
  • Understanding of business priorities (e.g., vision), trends (e.g., industry knowledge) and markets (e.g., existing/planned).
  • Oral & written communications.
  • Ability to prioritize and make trade-off decisions.
  • Drive cross-functional execution.
  • Adaptability and ability to introduce/manage change.
  • Teamwork and collaboration.
  • Organized and detail oriented.

Preferred Job Qualifications:

  • Experience in Hadoop Application Infrastructure Engineering and Development Methodology background.
  • Experience with Ambari, Hortonworks, and HDInsight.
  • Experience with Cloudera Technology (Azure/AWS).
  • Experience with Streaming Technology (e.g. Kafka).
  • Experience with Kerberos, TLS encryption, SAML, LDAP.
  • Knowledge in the Cloud (Azure/AWS) big data solutions using EMR, HDInsight, Kinesis, Azure, Event Hubs, etc.