0-2 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.
Proficiency in programming languages such as Python and PySpark.
Familiar with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).
Strong problem-solving and performance optimization skills. Key Requirements Bachelor's degree in Engineering, Data Science IT, or related field. 0-2 years of experience or recent graduate. Key Requirements
0-2 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.
Proficiency in programming languages such as Python and PySpark.
Familiar with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).
Strong problem-solving and performance optimization skills.