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Hadoop Python Jobs in Georgia (NOW HIRING)

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 ...

... 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 ...

Develop dashboards and visualizations using Tableau, Power BI, or Python libraries (Matplotlib ... Experience with big data technologies (Hadoop, Spark) * Experience with distributed computing ...

Big Data/Cloud Consultant

Atlanta, GA · On-site

$56.25 - $76.75/hr

At least 2 years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive ... Development experience in Java, Python, Scala. * Experience in cloud technologies preferred - AWS ...

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Experience with Apache Beam, Spark, or Hadoop ecosystem . * Proficiency in Java, Python, or Scala . * Solid understanding of ETL/ELT, data modeling, and distributed systems . * Experience with CI/CD ...

Experience working with Database platforms such Hadoop, Snowflake, AWS, Azure. * Experience with Python. * Experience with AWS based data warehouse platforms and tools such as Lake Formation, S3 ...

Java Engineer

Atlanta, GA

$49.75 - $68.25/hr

... DB2, Hadoop Back-end technologies - Java, Python, .NET, Ruby, Mainframe COBOL, Mainframe Assembler Front-end technologies - HTML, JavaScript, jQuery, CICS Web Frameworks - Web technologies like ...

Azure Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

More than 10+ years of relevant experience in data engineering tools like Spark, Hadoop, Azure Data pipelines , Azure Data factory, Azure Data Lake Storage, Databricks, Delta Lake, Python, SQL Server ...

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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:
Data PlatformEngineer

Other

Posted 28 days ago


Job description

Location: Alpharetta, GA
Salary: Depends on Experience
Description:
About the Role
We are looking for a highly motivated and experienced Data Platform Engineer to join our growing data platform team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and architectures to support cross-functional teams. You'll work with a variety of data sources and technologies to ensure efficient data flow, high-quality data delivery, and robust data models that power business insights and decision-making.
Key Responsibilities
  • Design and implement scalable data acquisition and ingestion pipelines using ETL tools such as SSIS and Alteryx.
  • Integrate data from diverse sources including SQL Server, SAP, Teradata, Hadoop/Hive, PostgreSQL, Oracle, and flat files.
  • Optimize data flow and improve data reliability, efficiency, and quality.
  • Manage Alteryx administration, user roles, and advanced workflow configurations.
  • Define and maintain data architecture standards, including modeling, metadata, and security.
  • Create and optimize data models to support business applications and analytics.
  • Review and enhance existing data systems for compatibility and performance.
  • Automate workflows to ensure timely and accurate data delivery.

Must have:
  • 5+ years of experience in SQL Server development.
  • 5+ years of experience in ETL development.
  • 5+ years of experience in data modeling.
  • 3+ years of experience in Alteryx administration and advanced workflow management.
  • 5+ years of experience working with multiple database technologies (e.g., SQL Server, Teradata).
  • 2+ years of experience with big data technologies (e.g., Hadoop, Hive, Spark).
  • Strong knowledge of data warehousing concepts and best practices.

Desired skills:
  • Experience with BI lifecycle management.
  • Working knowledge of Microsoft VBA, HTML, and Python.
  • Experience with data modeling tools such as ERwin.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

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