Data Engineer

Work setup: Hybrid

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  

• 5-7 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)  

• Experience with data pip...