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Hadoop Python Jobs in Georgia (NOW HIRING)

Help develop reference Hadoop architectures and configurations * Drive POCs with customers to ... Python, Perl, or other scripting language required * Familiarity with the Java ecosystem and ...

... Hadoop cluster to accommodate an increased volume of data flowing into the enterprise data ... Python. * 3 years of experience with advanced SQL query writing * Must be US Citizen or US ...

... Hadoop cluster to accommodate an increased volume of data flowing into the enterprise data ... Python. * 3 years of experience with advanced SQL query writing * Must be US Citizen or US ...

JTEC Talent Network

Atlanta, GA · Hybrid

$90K - $180K/yr

Apache Hadoop, Python, Python service or API development Front-end development experience in one or more technologies such as: ReactJS, Angular, JavaScript, HTML, CSS Data layer experience using ...

JTEC Talent Network

Atlanta, GA · On-site

$90K - $180K/yr

Apache Hadoop, Python, Python service or API development Front-end development experience in one or more technologies such as: ReactJS, Angular, JavaScript, HTML, CSS Data layer experience using ...

Big Data Architect

Atlanta, GA

$61.25 - $78.75/hr

Atlanta, GA, 30305 Must have extensive experience with Hadoop, Spark, and Python! Great communication is required, these Architects will be interacting with customers * Big Data Architect

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Work hands-on with Hadoop, Apache Spark, and other big data tools to support data processing and analysis. Create and maintain UNIX shell scripts and Python scripts for automation and data workflows.

Java (required), Python (preferred) • 3+ years' experience with 3rd party platforms: Appian, Cloudera Hadoop • 3+ years' experience with databases: Microsoft SQL Server, HBASE, Hive • 3+ years ...

The ideal candidate will have strong expertise in data science, including proficiency in Python ... Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions. * Create interactive ...

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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 Georgia? For Hadoop Python jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Georgia look for? The top searched job categories for Hadoop Python jobs in Georgia are:
What cities in Georgia are hiring for Hadoop Python jobs? Cities in Georgia with the most Hadoop Python job openings:
Hadoop Developer

$56/hr

Contractor

Posted 4 days ago


Job description

Company Description

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation.  Our account managers and recruiters have over a decade of experience in various verticals. GCM understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function.  Organizations need to reduce training and labor costs but at same requiring the best "talent " for the job. 


Qualifications

Hadoop Developer needs 5+ years of Python, Java/ Scala. 


Hadoop Developer requires:

  • B.S. and M.S. in mathematics, computer science or engineering 
  • 3+ years of demonstrated technical proficiency with SPARK, big data projects, and experience in data modeling.
  • Experience
    designing and developing data ingestion and processing/transformation
    frameworks leveraging tools such as ADF, NiFi, Sqoop, Eclipse
  • Should
    have worked in Big data space for at least 5 years in Apache Spark,
    Hive and MapReduce. Experience with a variety of Big Data ETL tools,
    e.g. Spark, Hive, Kafka, Sqoop, MapReduce, Scala, Zookeeper, Etc
  • Should have experience in Cloudera or Hortonworks and exposure to Teradata is beneficial. 

Hadoop Developer duties:


  • Translate complex functional and technical requirements into detailed design
  • Proficiency in SPARK for technical development and implementation
  • Load disparate data sets by leveraging various big data technology (Kafka)
  • Ability to utilize Hive, Spark, Cassandra, MLlib, Typescript,NodeJS, Pyspark, Eclipse 
Additional Information

$56hr

6  MONTHS


Global Channel Management logo

About Global Channel Management

Sourced by ZipRecruiter

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Global Channel Management understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at the same time requiring the best talent for the job. GCM's Ownership and Management teams have extensive Staffing, Recruiting, HR and Executive Leadership knowledge, Experience and Expertise. Our Understanding and Commitment to our Client's Satisfaction are key reasons GCM has been successful in establishing long term relationships.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Austell, GA, US

Year founded

2009

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