Overview
As a Big Data Engineer, you will build and maintain big data solutions for our clients remotely. You'll work with large datasets to enable data analytics.
As a Big Data Engineer, you will build and maintain big data solutions for our clients remotely. You'll work with large datasets to enable data analytics.
Responsibilities
• Develop data processing pipelines using Hadoop or Spark. • Optimize data storage and retrieval. • Collaborate with data scientists and analysts. • Ensure data security and compliance. • Implement data quality checks. • Stay updated on big data technologies. • Document big data architectures. • Troubleshoot data processing issues. • Optimize system performance. • Assist in data warehousing projects. • Work with NoSQL databases. • Support real-time data streaming.
• Develop data processing pipelines using Hadoop or Spark. • Optimize data storage and retrieval. • Collaborate with data scientists and analysts. • Ensure data security and compliance. • Implement data quality checks. • Stay updated on big data technologies. • Document big data architectures. • Troubleshoot data processing issues. • Optimize system performance. • Assist in data warehousing projects. • Work with NoSQL databases. • Support real-time data streaming.
Qualifications
• Bachelor's degree in Computer Science or related field. • 4+ years of big data engineering experience. • Proficient in Java, Scala, or Python. • Experience with Hadoop, Spark, or Kafka. • Authorized to work in the U.S.
• Bachelor's degree in Computer Science or related field. • 4+ years of big data engineering experience. • Proficient in Java, Scala, or Python. • Experience with Hadoop, Spark, or Kafka. • Authorized to work in the U.S.
Annual Salary Range
$145,000 - $175,000
$145,000 - $175,000
Skills
Big Data
Big Data
Hadoop
Hadoop
Spark
Spark
Data Pipelines
Data Pipelines
