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Hadoop Python Jobs in Texas (NOW HIRING)

Role : Hadoop Admin Location : Austin - Texas (Onsite) Full time . Experience with managing and ... languages Python, Java or full stack development. · Familiarity with big data tools (Big Data ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures. * Experience with some framework building experience on Hadoop * Very good ...

Hadoop Admin Austin, TX (Day 1 onsite ) (No graduated profiles from JNTU / ANU/Kakatiya / Osmania ... Golang, Java, Python Shell • Knowledge of Prometheus Service for event monitoring and alerts is ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Python Developer

Houston, TX

$48 - $66.25/hr

Looking for Python Developer Rate - DOE Location - Houston, TX Duration: Long Term Description ... such as Hadoop and Cassandra * Candidate must have 2+ year of hands on experience in developing ...

Python Developer

Houston, TX · On-site

$48 - $66.25/hr

Company Description Looking for Python Developer Rate - DOE Location - Houston, TX Duration ... such as Hadoop and Cassandra * Candidate must have 2+ year of hands on experience in developing ...

Python API Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Python API Developer Location: Irving, TX Onsite position Fulltime position JD * Develop and ... Familiarity with big data ecosystems including Hadoop. * Knowledge of RESTful and GraphQL APls.

BI Engineer

Richardson, TX · On-site

$70K - $149K/yr

Knowledge and understanding of Hadoop tech stack like HDFS, Hive, HQL, Spark, Scala, Pyspark/python, Sqoop. * Knowledge and understanding of MPP platforms like Teradata BTEQ, SQL etc * Knowledge and ...

Python Developer

Fort Worth, TX · On-site

$48 - $66.25/hr

Excellent understanding of Python Core concepts, including both functional and class-based design ... Exposure to Big Data, Hadoop, or Data Science. * Experience in the financial industry.

Python Developer

Fort Worth, TX

$48 - $66.25/hr

Excellent understanding of Python Core concepts, including both functional and class-based design ... Exposure to Big Data, Hadoop, or Data Science. * Experience in the financial industry. Additional ...

BI Engineer

Richardson, TX · On-site

$70K - $149K/yr

Knowledge and understanding of Hadoop tech stack like HDFS, Hive, HQL, Spark, Scala, Pyspark/python, Sqoop. * Knowledge and understanding of MPP platforms like Teradata BTEQ, SQL etc * Knowledge and ...

Python Engineer Location: Irving , TX / Tampa,FL / Jersey City , NJ(onsite) Job Type: Full time ... Experience of 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and ...

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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 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 Admin at Austin, TX

Hadoop Admin at Austin, TX

smart folks inc

Austin, TX • On-site

Full-time

Posted 10 days ago


Job description

Role : Hadoop Admin
Location : Austin – Texas (Onsite)
Full time .
 

Experience with managing and optimizing Hadoop, Big Data and Kafka clusters in production environment

·Demonstrated experience with AWS EMR , MSK and GCP Hadoop and Kafka on-prem & cloud platforms

·Proficient in one of programming languages Python, Java or full stack development.

·Familiarity with big data tools (Big Data, Spark, Kafka, etc.) and frameworks (HDFS, MapReduce, etc.).

·Strong knowledge in system architecture and design patterns for high-performance computing.

·Good understanding of data security and privacy concerns.

·Excellent problem-solving and troubleshooting skills.

·Strong communication and collaboration skills.

·Observability: knowledge on observability tools like Grafana, Opera and Splunk.

·Linux: understanding of Linux, networking, CPU, memory, and storage.

·Communication: Excellent interpersonal skills, along with superior verbal and written communication abilities.

Regards
Kumar Sri Bharath
469-425-3342
 


Smart Folks logo

About Smart Folks

Sourced by ZipRecruiter

Smart Folks Inc. (SFI) is a global IT Staff Augmentation and Consulting Services that discovers handpicked smart talent and routes them to the right path. Smart Folks Inc. was founded in 2011 and is headquartered in McKinney, Texas. We have global operations with localized detail to meet the high caliber needs of our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

McKinney, TX, US

Year founded

2011

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