Data Engineer

Job Title:
Data Engineer
Location:
Phoenix, Az
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.
Generic Managerial Skills, If any
Decision Making, Problem Solving, Leadership, Time Management
Salary range: