Hadoop Developer

M3BI

Phoenix (AZ)

On-site

USD 85,000 - 120,000

Full time

14 days+

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Job summary

M3BI, based in Phoenix, Arizona, is seeking a skilled Hadoop developer to provide technical expertise in Hadoop technologies. This role will involve planning and executing big data analytics, predictive analytics, and machine learning initiatives.

The ideal candidate will have strong development experience, knowledge of agile methodology, and proven expertise with Hadoop, HBase, Hive, and Pig. Join us to enable enterprises with a comprehensive view of their data management.

Qualifications

  • Strong development experience in Hadoop technologies.
  • Knowledge of agile methodology for delivering software solutions.
  • Experience with Hadoop/Spark Running Pig and Hive Queries.

Responsibilities

  • Provide technical expertise in Hadoop technologies.
  • Plan and execute big data analytics initiatives.
  • Engage in predictive analytics and machine learning.

Skills

Hadoop
HBase
Hive
Pig
SQL
Agile methodology
Object oriented design
Performance tuning

Job description

M3bi is a new generation IT Services Company specializing in Business Intelligence, Data Warehousing & Data Analytics! The team at M3bi stands for enabling enterprises with an enriched and controlled view of their business and data. Our primary focus is around data analytics, testing automation and end-to-end delivery of Data Management programs for large Financial Services and Healthcare clients.

Job Description

As a Hadoop developer, you will provide technical expertise and aptitude to Hadoop technologies as they relate to the development of analytics. You will be responsible for the planning and execution of big data analytics, predictive analytics and machine learning initiatives.

Qualifications
  • · Strong development experience is a must
  • · Knowledge of agile methodology for delivering software solutions
  • · Proven understanding with Hadoop, HBase, Hive, Pig.
  • · Experience in Hadoop/Spark Running Pig and Hive Queries, Analyzing data with Hive.
  • · Experience in Hadoop / HIVE – Performance tuning
  • · Experience in creating tables in HIVE
  • · Experience in HIVE SQL / SQL – partitions, buckets
  • · Experience with Hadoop eco-system – HDFS file orchestration and scripting
  • · Experience in Hive – HQL design and ETL
  • · Test driven development, a commitment to quality and a thorough approach to the work.
  • · Good understanding of Object oriented design, Design Patterns
  • · Motivation to learn innovative trade of programming, debugging and deploying
  • · Self-starter, with excellent self-study skills and growth aspirations
Additional Information

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