ZipRecruiter

Log In

1

Hadoop Python Jobs in Georgia (NOW HIRING)

Atria Group LLC

Hadoop Consultants

Atlanta, GA

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 ...

Jobsbridge

Hadoop Developer

Atlanta, GA

... 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 ...

Jobsbridge

Hadoop Developer

Atlanta, GA

... 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 ...

United Airlines

Hadoop Adminintrator

Atlanta, GA

Develop automation for operational tasks using Python Shell scripting or Ansible * Streamline ... Understanding of Hadoop security Kerberos SSL ACLs AD integration Preferred Qualifications

JTEC Consulting

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 Consulting LLC

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 ...

US Corp2Corp

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

next page

Showing results 1-20

All JobsHadoop Python JobsHadoop Python Jobs in Georgia

Hadoop Python information

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.

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 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 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 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 Python jobs near you

Hadoop Consultants

Atria Group LLC

Atlanta, GA

Contractor

Posted 27 days ago

Job description

Job Description

Responsibilities:

  • Participate in the pre- and post- sales process, helping both the sales and product teams to interpret customers' requirements 
  • Work directly with prospective customers' technical resources to devise and recommend solutions based on the understood requirements 
  • Analyze complex distributed production deployments, and make recommendations to optimize performance 
  • Work closely with account teams at all levels to ensure rapid response to customer questions and project blockers 
  • Help develop reference Hadoop architectures and configurations 
  • Drive POCs with customers to successful completion 
  • Write and produce technical documentation, knowledgebase articles 
  • Attend speaking engagements when needed 
  • Travel 100%, Monday-Thursday. Travel - reimbursed. 

 
Qualifications:

  • 3+yrs of Professional Services (customer facing) experience architecting large scale storage, data center and /or globally distributed solutions 2+ years designing and deploying 3 tier architectures or large-scale Hadoop solutions 
  • Ability to understand and translate customer requirements into technical requirements 
  • Strong experience implementing software and/or solutions in the enterprise Linux or Unix environment 
  • Ability to compile and install Linux applications from source, the Linux kernel and kernel modules 
  • Experience with integrating various solutions such as LDAP, or system / installation management tools into the overall solution 
  • Strong understanding of network configuration, devices, protocols, speeds and optimizations 
  • Python, Perl, or other scripting language required 
  • Familiarity with the Java ecosystem and enterprise offerings, including debugging and profiling tools (jconsole), logging and monitoring tools (log4j, JMX), and security offerings (Kerberos/SPNEGO). 
  • Significant previous work writing to network-based APIs, preferably REST/JSON or XML/SOAP 
  • Solid background in Database administration or design - Oracle RAC a plus Excellent verbal and written communications
  • Experience in architecting data center solutions - properly selecting server and storage hardware based on performance, availability and ROI requirements 
  • Demonstrable experience using R and the algorithms provided by Mahout 

 
Nice, but not required experience:

  • Experience working with Apache Hadoop including: Knowledge on how to create and debug Hadoop jobs 
  • Ability to understand big data use-cases, and recommend standard design patterns commonly used in Hadoop-based deployments. 

Knowledge of the data management eco-system including: Concepts of data warehousing, ETL, data integration, etc.

Additional Information

8 weeks with extension

Submit your resume today!

Apply