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Hadoop Python Jobs in Indiana (NOW HIRING)

Eli Lilly and Company

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Strong proficiency in SQL and at least one programming language (Python, Scala, Java). * Extensive ... Experience with big data technologies (e.g., Spark, Hadoop) is a plus. * Familiarity with data ...

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Hadoop Python information

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.

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.

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 Indiana? For Hadoop Python jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Indiana look for? The top searched job categories for Hadoop Python jobs in Indiana are:
Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Indiana as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 6% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Data Quality Lead

Yochana IT Solutions Inc

Indianapolis, IN • On-site

Full-time

Re-posted 24 days ago

Job description

Company Description

Reach me at chaitu AT yochanait DOT com for more information 

Job Description

Job Title: Data Quality Lead

Job Location: Columbus IN

Project Duration: 6 months

GC/ USC/ H1B

Mandatory Skills

Minimum of 4 years' hands-on expertise with the data modeling and data management

1-year experience with Microsoft Data Quality Services

Exposure to Hadoop (Hortonworks preferable) stack (e.g. HDFS, MapReduce, Spark, Pig, Hive, Hbase, Flume etc.)

Minimum of 5 years of experience in database development and SQL

Minimum 2 years with Tableau

Minimum 2 years with R, Python, or Spark

Desired Skills

Technical understanding of Data Science

Hadoop and Analytics experience (MapReduce/R)

Job Description:

Implementation of Data Quality solutions consisting of meta data management, data quality, data validation, and data governance solutions

Deliver solutions via the Agile development method

Working with architects and providing implementation details to team members

Production of quality deliverables in a timely manner

Sharing knowledge and experience with various groups within an organization

Responsibilities:

Ability to communicate clearly with customers

Ability to independently analyze, diagnose, troubleshoot, and drive issues to resolution with minimal supervision

Ability to work independently within a large team environment

Ability to articulate and share knowledge as it pertains to data governance applications and architecture

Experience working in a team setting and brainstorming design for applications

Ability to quickly learn and show competence in new Advanced Analytics and Big Data technologies

Consulting experience is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.

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