Data Engineer

Work setup: Hybrid (1-2x onsite a week)
Normal shift: 8am to 5pm
Hiring process: virtual interview
Responsibilities
• Design and build data pipelines and ETL processes
• Develop and maintain data storage solutions
• Ensure data quality, integrity, and accessibility
• Collaborate with data scientists to prepare datasets for AI models
• Optimize data workflows for performance and scalability
• Implement data validation and cleansing processes
• Document data engineering processes and standards
Qualifications
• Bachelor's degree in Computer Science, Engineering, or related field
• 2-3 years of experience in data engineering and ETL processes
• Proficiency with SQL, Python, and big data technologies (e.g., Hadoop, Spark)
• Knowledge of data warehousing and cloud data platforms (e.g., Redshift, BigQuery)
• Strong understanding of data modeling and database design
• Familiarity with version control systems (e.g., Git)
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