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Big Data Engineer

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: iSoftTek Solutions Inc
Seasonal/Temporary position
Listed on 2025-12-01
Job specializations:
  • Engineering
    Data Engineer
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 130000 USD Yearly USD 80000.00 130000.00 YEAR
Job Description & How to Apply Below

Job Title: Big Data Engineer

Job Location: Phoenix, AZ

Job Type: Contract

Job Description:

iSoftTek Solutions Inc is seeking a talented Big Data Engineer to join our team. In this role, you will be responsible for developing and maintaining big data solutions and frameworks. You will work closely with cross-functional teams to design, implement, and optimize data processing and analytics systems utilizing Hadoop, Spark, and other big data technologies.

Responsibilities:

  • Design, develop, and implement big data solutions using technologies such as Hadoop and Spark
  • Develop scalable data pipelines for data ingestion, transformation, and analysis
  • Collaborate with data scientists and analysts to understand business requirements and design efficient data models and architectures
  • Optimize and tune big data applications for performance and scalability
  • Monitor and troubleshoot issues in big data systems and provide timely resolution
  • Ensure data quality and integrity in all stages of data processing

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  • 3+ years of experience as a Big Data Engineer
  • Strong knowledge and hands-on experience with big data technologies such as Hadoop, Spark, Hive, or Kafka
  • Proficiency in programming languages such as Java, Scala, or Python
  • Experience with data modeling and data warehousing concepts
  • Knowledge of SQL and No

    SQL databases
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
  • Ability to work independently and in a team environment

Must Have Skills:

  • Proficiency in Java or Python
  • Experience with Spark or Py Spark
  • Strong understanding of SQL and SQL Query
  • Experience with Shell or Unix Scripting
  • Working Experience of Hive
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