More jobs:
Big Data Engineer
Job in
Phoenix, Maricopa County, Arizona, 85003, USA
Listed on 2025-12-01
Listing for:
iSoftTek Solutions Inc
Seasonal/Temporary
position Listed on 2025-12-01
Job specializations:
-
Engineering
Data Engineer -
IT/Tech
Data Engineer
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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