Data Engineer

**About the job Data Engineer**:**About the Project**:**Requirements**:- Design, develop, and maintain data storage solutions and infrastructure.- Build and optimize ETL (Extract, Transform, Load) pipelines to ensure efficient data processing.- Handle data quality and data governance aspects, including data cleaning and validation.- Set up monitoring and alerting systems to ensure data reliability and performance.- Implement CI/CD (Continuous Integration/Continuous Deployment) practices for data pipelines.- Enforce data access control and governance policies to maintain data security and compliance.**Qualifications**:- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).- Proven experience in data engineering and infrastructure, with a focus on AWS Glue, Athena, Apache Spark, Apache Hudi, and Python.- Strong ETL development skills and expertise in data storage and retrieval.- Knowledge of data quality best practices and the ability to ensure data integrity.- Familiarity with CI/CD practices for data pipelines.- Experience with data governance and access control.- Strong problem-solving skills and the ability to work collaboratively in a team.- Nice-to-have: Knowledge in data science, machine learning, analytics, or data warehousing.