Junior Data Engineer

• Write and optimize complex SQL queries for data extraction, transformation, and reporting.
• Work with Apache Spark for data processing, aggregation, and pipeline development.
• Develop and maintain Hive tables, queries, and scripts for big data workflows.
• Collaborate with senior engineers to design and optimize data pipelines.
• Ensure data quality, accuracy, and performance across systems.
• Troubleshoot and resolve issues in data processes.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 4 years of experience in data engineering or related roles.
• Strong SQL programming skills (mandatory).
• Hands-on experience with Apache Spark and Hive (medium-level proficiency).
• Familiarity with data warehousing concepts and ETL processes.
• Good problem-solving and analytical skills.
• Eagerness to learn new tools and technologies.