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Hadoop Python Jobs in Arizona (NOW HIRING)

Career Guidant

Big Data with Financial Services

Phoenix, AZ

$52.50 - $68.25/hr

Strong understanding of Hadoop fundamentals. Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Forhyre

Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop ...

FHR

12-12-R-Solution Architect - 9150

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Python, SQL, R Big Data: Hadoop, Spark, Kafka, Hive Cloud Platforms: Azure (ADF, Databricks, Azure OpenAI), AWS Data Warehousing: Redshift, SQL Server ETL/ELT Tools: SSIS Required Educational ...

IntraEdge

Big Data Engineer II

Phoenix, AZ

$55.75 - $73.75/hr

Hands-on experience with programming using Python/Scala * Expert on Hadoop and Spark Architecture and its working principle * Ability to design and develop optimized Data pipelines for batch and real ...

Infosys

Specialist Programmer

Phoenix, AZ · On-site

NET Core, MongoDB OR Any NoSQL database, Angular JS or JavaScript, ExpressJS / NodeJS), Data Engineering (Hadoop, Spark, PySpark, Hive, PostgreSQL, Python/Java, Kafka, Airflow and Beam), AI ...

JDA

Sr Gen AI Engineer

Scottsdale, AZ

$87.52K - $140.77K/yr

Python, GitHub, Node.js, React.js, GitHub Actions, Codacy, GitHub Advance Security, Black Duck Hub ... Experience working with large-scale datasets and distributed computing frameworks (e.g., Hadoop ...

Deloitte

Data Scientist

Tempe, AZ · On-site

... such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ... D. in a relevant field. • Experience with big data technologies like Spark or Hadoop. • ...

New

Deloitte

Data Scientist

Gilbert, AZ · On-site

... such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ... D. in a relevant field. • Experience with big data technologies like Spark or Hadoop. • ...

New

MUFG

Lead Senior Cloud Data and Datastore Engineer, VP

Tempe, AZ · Hybrid

$101.50K - $137.90K/yr

... MongoDB, Hadoop Bigdata, DW systems such as Snowflake/data bricks) * Minimum of (2) years of ... Possess Coding skills of 2+ years in Python, Scala and database procedural languages (PL/SQL, T-SQL ...

Paychex

Data Engineer

Tempe, AZ

$99.60K - $156.50K/yr

Python (Programming Language) - Preferred * SQL (Programming Language) - Preferred * Extract ... Apache Hadoop - Preferred Candidates must be legally authorized to work in the United States on a ...

@Orchard

Site Reliability Engineer

Phoenix, AZ · On-site

... Hadoop clusters and big data environments, ensuring optimal resource utilization and uptime. * Develop, automate, and optimize data pipelines using SQL, Python, and PySpark for efficient data ...

Deloitte

Data Scientist

Tempe, AZ

Experience with big data technologies like Spark or Hadoop. * Experience with deep learning ... Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

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

Big Data with Financial Services

Career Guidant

Phoenix, AZ

$52.50 - $68.25/hr

Full-time

Posted yesterday

Job description

Company Description

Career Guidant, an internationally acclimed, trusted multi-faced orgiansation into Information Technology Custom Learning Services for Enterprises, Lateral Staffing Solutions, Information Technology Development & Consulting, Infrastructure & Facility Management Services and Technical Content development as core competencies. Our experienced professionals bring a wealth of industry knowledge to each client and operate in a manner that produces superior quality and outstanding results.

Career Guidant proven and tested methodologies ensures client satisfaction being the primary objective. Committed to our core values of Client Satisfaction, Professionalism, Teamwork, Respect, and Integrity.

Career Guidant with its large network of delivery centres,support offices and Partners across India, Asia Pacific, Middle East, Far East, Europe, USA has committed to render the best service to the client closely to ensure their operation continues to run smoothly. Our Mission

"To build Customer satisfaction, and strive to provide complete Information Technology solution you need to stay ahead of your competition" If you have any queries about our services.

Job Description

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture.
Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types, Arrays and String Operations, Operators, Control Flow Statements, Inheritance and Interfaces, Exception Handling, Serialization, Collections, Reading and Writing Files.
Must have hands on experience in design, implementation, and build of applications or solutions using Core Java/Scala.
Strong understanding of Hadoop fundamentals.
Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig.
Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and interacting with RDBMS and NoSQL database - HBase programmatically.
Strong understanding of File Formats - Parquet, Hadoop File formats.
Proficient with application build and continuous integration tools - Maven, SBT, Jenkins, SVN, Git.
Experience in working on Agile and Rally tool is a plus.
Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python, Perl, and JavaScript.
Should have worked on large data sets and experience with performance tuning and troubleshooting.
Preferred
Knowledge of Java Beans, Annotations, Logging (log4j), and Generics is a plus.
Knowledge of Design Patterns - Java and/or GOF is a plus.
Knowledge of Spark, Spark Streaming, Spark SQL, and Kafka is a plus.
Experience to Financial domain is preferred
Experience and desire to work in a Global delivery environment

Qualifications

Bachelor's degree or foreign equivalent required. Will also consider one year of relevant work experience in lieu of every year of education

At least 5 years of Design and development experience in Big data, Java or Datawarehousing related technologies

Atleast 3 years of hands on design and development experience on Big data related technologies - PIG, Hive, Mapreduce, HDFS, HBase, Hive, YARN, SPARK, Oozie, Java and shell scripting

Should be a strong communicator and be able to work independently with minimum involvement from client SMEs

Should be able to work in team in diverse/ multiple stakeholder environment

Additional Information

Note : NO OPT, H1 for this position

Client : Infosys

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