Data/ETL Engineer

Job Description

- Utilize PySpark or Java to develop data pipelines. - Work with AWS services like EC2, S3, Lambda, Glue, and EMR for data processing. - Implement data warehousing solutions and ETL processes. - Collaborate with team members to maintain CI/CD pipelines and version control systems like Git. - Solve complex problems and analyze data effectively. - Proficiency in PySpark (minimum 5-10 years) OR Java (minimum 5-10 years). - Extensive experience with AWS services such as EC2, S3, Lambda, Glue, and EMR. - Familiarity with data warehousing solutions and ETL processes. - Knowledge of CI/CD pipelines and version control systems like Git. - Experience with other cloud platforms like Azure or Google Cloud. - Knowledge of big data technologies such as Hadoop or Spark. - Bachelor's degree in Computer Science, Engineering, or related field.