Data Engineer
November 1
Description
• Design, build, and maintain scalable data pipelines and ETL processes. • Develop and optimize robust data storage solutions, including databases and data warehouses. • Ensure high data quality and consistency across various sources. • Collaborate closely with data scientists and analysts to support analytics and modeling. • Troubleshoot and resolve data-related issues, enhancing performance and reliability.
Requirements
• Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred. • 2-4 years in data engineering or a related role. • Proficient in SQL and programming languages (Python, Java, or Scala). • Skilled with Hadoop, Spark, AWS Redshift, and other data management platforms. • Familiar with data warehousing, database design, data modeling, and schema development.
Benefits
• Working completely remote • Location independence • Great opportunity to grow
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