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 ...