Big Data Developer with Hadoop and Java

Job Title: Java with Hadoop, SQL

Location: Phoenix, Az

Type: Fulltime Position

Job Description:

Must Have Technical/Functional Skills

• In-depth knowledge of the Hadoop ecosystem, including HDFS, MapReduce, Spark , Scala , Hive
• Expertise in Hive for data warehousing and querying large datasets.
• Strong experience with Apache Spark for distributed data processing and real-time analytics.
• Advanced proficiency in Scala programming for big data application development.
• Familiarity with data modeling, ETL processes, and data integration techniques.
• Experience with cloud platforms and big data tools (e.g., Google Big Query).
• Strong analytical and problem-solving skills to address complex data challenges.
• Basic knowledge on JAVA , Springboot
• Strong SQL skill.

Roles & Responsibilities

• Architect and design scalable big data solutions leveraging technologies like Hadoop, Hive, Spark, and Scala.
• Develop and optimize data pipelines and workflows for processing and analyzing large-scale datasets.
• Manage and fine-tune distributed computing frameworks to ensure high performance and reliability.
• Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to gather and define data requirements.
• Implement data security, governance, and compliance measures in big data environments.
• Diagnose and resolve technical issues in big data systems to maintain operational efficiency.