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Hadoop Python Jobs in Georgia (NOW HIRING)

Princeton IT Services

Senior DevOps Engineer

Alpharetta, GA · On-site

$126K - $163K/yr

Build and manage big data clusters, including Azure Databricks and On-Premise Hadoop , for advanced ... Proficiency in Python, Bash, or PowerShell for automation tasks. * Version Control: Expertise in ...

Centraprise LLC

AWS Data Engineer

Alpharetta, GA · On-site

$100K - $120K/yr

... Python development experience for big data application. * Extensive working experience in implementing scalable and efficient data processing pipelines using big data technologies, such as Hadoop/EMR ...

STEMtech

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hadoop, Map/Reduce, Spark, HBase, HDInsight, Data Bricks, Hive) and with programming languages like UNIX shell scripting, Python etc. • Has used SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS ...

MasterCard

Senior Cloud Engineer

Atlanta, GA

$53.50 - $71.75/hr

Proficiency in Python, Java, or Scala, building large-scale distributed data processing ... Experience migrating workloads from Hadoop or Cloudera ecosystems to modern cloud architectures.

New

Intellyk INC

Business & Data Analyst

Atlanta, GA

$90K/yr

Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ... Hadoop, MapReduce, Spark or other Big Data Platforms Practical knowledge in NLP and text mining ...

Judge Group, Inc.

Data PlatformEngineer

Alpharetta, GA · On-site

Integrate data from diverse sources including SQL Server, SAP, Teradata, Hadoop/Hive, PostgreSQL ... Working knowledge of Microsoft VBA, HTML, and Python. * Experience with data modeling tools such as ...

Intellyk INC

Business & Data Analyst

Atlanta, GA · On-site

$90K/yr

Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ... Hadoop, MapReduce, Spark or other Big Data Platforms Practical knowledge in NLP and text mining ...

TecTammina

Google Cloud Lead

Atlanta, GA

... like Hadoop, Google BigQuery, DataFlow Experience with commercial ETL platforms like Informatica, SSIS, etc. Experience with Object Oriented Analysis and Design using Java, Python, etc. Experience ...

Workday, Inc.

Data Scientist - AI Platform

Atlanta, GA · On-site

Amazon SageMaker, Python/R, RapidMiner, Alteryx, H2O, TensorFlow. - Substantial expertise in ... MapReduce, Hadoop, Hive, Kafka is a plus. - Knowledge of SaaS business preferred. - Experience in ...

HR Tech Job

Data Scientist - AI Platform

Atlanta, GA · On-site

$130 - $219.40/hr

Amazon SageMaker, Python/R, RapidMiner, Alteryx, H2O, TensorFlow. * - Substantial expertise in ... MapReduce, Hadoop, Hive, Kafka is a plus. * - Knowledge of SaaS business preferred. * - Experience ...

Workday

Data Scientist - AI Platform

Atlanta, GA

Amazon SageMaker, Python/R, RapidMiner, Alteryx, H2O, TensorFlow. - Substantial expertise in ... MapReduce, Hadoop, Hive, Kafka is a plus. - Knowledge of SaaS business preferred. - Experience in ...

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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 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

Senior DevOps Engineer

Princeton IT Services

Alpharetta, GA • On-site

$126K - $163K/yr

Contractor

Re-posted 13 days ago

Job description

Job title: Senior DevOps Engineer – Azure, Terraform & Databricks

Location: Alpharetta GA

Type: Contract

Azure, Terraform & Databricks- Must have skills- & WE need individual contributor for this role. minimum 10+ year must and need locals

Key Responsibilities:

  • Design, implement, and manage Azure cloud infrastructure for scalable and reliable applications.
  • Develop and maintain Terraform scripts for automated infrastructure provisioning and configuration.
  • Build and manage big data clusters, including Azure Databricks and On-Premise Hadoop, for advanced analytics and data processing workloads.
  • Set up and maintain CI/CD pipelines using GitLab CI and Harness, ensuring robust and automated deployment processes.
  • Integrate connectivity between Gitlab CI, Nexus Repository and Harness CD to allow seamless delivery.
  • Collaborate with cross-functional teams to improve infrastructure performance, security, and scalability.
  • Monitor infrastructure and applications for performance issues, troubleshooting, and resolving incidents.
  • Participate in on-call rotations to address critical issues and ensure system reliability.

Key Skills and Experience:

  • Cloud Expertise: Proficiency in Azure cloud services, including virtual networks, storage accounts, WebApp services, Spring Apps, Databricks and Kubernetes (AKS).
  • Infrastructure as Code: Deep knowledge of Terraform for IaC implementation and best practices.
  • Big Data Technologies: Hands-on experience with Databricks and On-Premise Hadoop for big data workloads.
  • CI/CD Tools: Advanced experience with GitLab CI for continuous integration and Harness for deployment automation.
  • Artifact Management: Familiarity with Nexus Repository for managing build artifacts.
  • Scripting and Automation: Proficiency in Python, Bash, or PowerShell for automation tasks.
  • Version Control: Expertise in Git workflows and best practices.

Preferred Qualifications:

  • Experience in hybrid cloud environments integrating on-premise and Azure infrastructure.
  • Knowledge of DevSecOps practices for secure CI/CD pipelines.
  • Familiarity with monitoring tools like Azure Monitor, Dynatrace, or Splunk.
  • Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer) are a plus.