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Hadoop Python Jobs in Texas (NOW HIRING)

Apex Informatics

Hadoop Developer

Addison, TX · On-site

Hadoop Developer with Python Duration: 12 Months plus Location: Hybrid - Addison, TX Must Have skills: Hadoop, Python/Scala, SparkSQL • Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK ...

MM International

Hadoop Developer

Addison, TX · On-site

Python Required Qualifications * 8+ Years of IT experience with 5+ Years of relevant experience in developing solutions using Python and Hadoop technologies * Good programming knowledge with Hadoop ...

K&K Global Talent Solutions Inc.

Hadoop Architect

Plano, TX · On-site

$100K - $115K/yr

Shell scripting and Python automation. * Cloudera Data Platform (CDP) or similar Hadoop distributions. * Strong SQL and data analysis skills. Desired / Preferred Skills * Experience supporting large ...

Northern Base

Hadoop Architect

Plano, TX · On-site

... Python automation. · Cloudera Data Platform (CDP) or similar Hadoop distributions. · Strong SQL and data analysis skills. Desired / Preferred Skills · Experience supporting large-scale Hadoop ...

Tata Consultancy Service Limited

Hadoop Architect

Plano, TX · On-site

$95K - $115K/yr

... and Python automation. • Cloudera Data Platform (CDP) or similar Hadoop distributions. • Strong SQL and data analysis skills. Desired / Preferred Skills • Experience supporting large-scale ...

Sarian Solutions

Hadoop Developer

Plano, TX

... Python, Kerberos/Active Directory/LDAP, etc. * Minimum 3+ years of related database development experience, including Data Architect experience working with 'Big Data' technologies such as Hadoop, ET ...

Collabera LLC

Hadoop Engineer

Chicago, IL · On-site

Automate operational tasks using Ansible, Jenkins, Python, and Shell scripting. Must-Haves * Six plus years of relevant work experience. Strong Cloudera Hadoop administration experience. * Expertise ...

Programmers.io

Hadoop Admin

Austin, TX · On-site

Preferred exposure in Java/Python/Scala * Preferred exposure in OpenSearch * Preferred experience to support Open-Source Production Kafka/Hadoop/Druid clusters. * Follow the sun model 24*7 including ...

Zortech Solutions

Hadoop Developer

Addison, TX · On-site

Hadoop ,Spark,(Scala or Python) * Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK SQL * Data ingestion experience from message queue, file share, REST API, relational database, etc. and ...

AditiStaffing

Hadoop Developer

Irving, TX

Excellent skills in Python and R * Hands-on development experience with Hadoop and tools such as Hive, Sqoop, Pig, Impala, Parkour, Kafka, and Spark * Hands on experience on Core Java in Linux ...

Palnar

Hadoop Data Engineer

Austin, TX · On-site

5+ years of development and maintenance experience with Hadoop eco-system (Spark, Oozie, HDFS, Yarn ... Good to have experience with Python scripting and AWS, Airflow

Sonsoft Inc

Hadoop Administration

Austin, TX · On-site

Hadoop, MapReduce, HBase, Hive, Pig, Mahout * Hadoop Administration skills: Experience working in ... Experience in Shell and Perl scripting and exposure to Python * Knowledge of Troubleshooting Core ...

Programmers.io

Hadoop Cloudera Engineer

Irving, TX · On-site

Hadoop & Cloudera , Ecosystem (CDP/CDH, HDFS, YARN, MapReduce) * Spark & Data Processing(Spark Core ... Programming (Python / Scala / Shell) * Data Storage & File Formats (Parquet, Avro,ORC, JSON)

Sonsoft Inc

Hadoop Administration ( Lead )

Austin, TX · On-site

... Python Knowledge of Troubleshooting Core Java Applications is a plus Exposure to Real-time ... Hadoop Ecosystem and Clusters maintenance as well as creation and removal of nodes Perform ...

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Hadoop Python information

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 are the key skills and qualifications needed to thrive as a Hadoop Python developer?

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 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 are jobs in Hadoop Python?

Jobs in Hadoop Python typically involve developing and maintaining data processing tasks using Python scripts within the Hadoop ecosystem. These roles often require knowledge of Hadoop frameworks like MapReduce or Spark, along with Python programming skills, to handle large-scale data analysis and processing tasks. They may also involve working with distributed systems and data pipelines in a big data environment.

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

Hadoop Developer

Apex Informatics

Addison, TX • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Hadoop Developer with Python
Duration: 12 Months plus
Location: Hybrid - Addison, TX
Must Have skills: Hadoop, Python/Scala, SparkSQL
• Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK SQL
• Data ingestion experience from message queue, file share, REST API, relational database, etc. and experience with data formats like json, csv, xml
• Experience working with SPARK Structured steaming
• Experience working with Hadoop/Big Data and Distributed Systems
• Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
• Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few
• Performance tuning experience with spark /MapReduce or SQL jobs
• Experience and proficiency with Linux operating system is a must
• Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines
• Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle
• Experience using Source Code and Version Control systems like SVN, Git, Bit Bucket etc.
• Experience working with Jenkins and Jar management
• Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets
• Ability to comprehend customer requests and provide the correct solution
• Strong analytical mind to help take on complicated problems
• Desire to resolve issues and dive into potential issues
• Ability to adapt and continue to learn new technologies is important

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