Database Engineer

As a Database Engineer at our company, you will be a valuable addition to our data engineering team. Your role will involve maintaining data integrity, optimizing database performance, and ensuring smooth data movement across systems. **Key Responsibilities:** - Write, review, and execute SQL and Python scripts for managing and transforming database systems - Perform data validation, error handling, and data reconciliation to maintain accuracy and consistency - Develop and maintain ETL jobs to support data migration and integration projects - Collaborate with application developers, data analysts, and cloud engineers for efficient data flow - Monitor and optimize database performance, manage indexing, and handle replication and backup strategies - Create technical documentation for database processes, pipelines, and scripts - Ensure data security, integrity, and compliance with organizational standards **Qualifications Required:** - Strong proficiency in PL/SQL and Python programming - Solid understanding of AWS Database Services such as Aurora (PostgreSQL) and RDS - Experience in database scripting, stored procedures, data clean-up, and data migration - Knowledge of data modeling, ETL processes, and query optimization - Familiarity with data pipelines, automation, and cloud data management workflows - Ability to troubleshoot database issues and improve performance metrics - Experience working with large-scale datasets and handling complex data transformations This is a contractual/temporary position for a duration of 6 months. The work location is remote. As a Database Engineer at our company, you will be a valuable addition to our data engineering team. Your role will involve maintaining data integrity, optimizing database performance, and ensuring smooth data movement across systems. **Key Responsibilities:** - Write, review, and execute SQL and Python scripts for managing and transforming database systems - Perform data validation, error handling, and data reconciliation to maintain accuracy and consistency - Develop and maintain ETL jobs to support data migration and integration projects - Collaborate with application developers, data analysts, and cloud engineers for efficient data flow - Monitor and optimize database performance, manage indexing, and handle replication and backup strategies - Create technical documentation for database processes, pipelines, and scripts - Ensure data security, integrity, and compliance with organizational standards **Qualifications Required:** - Strong proficiency in PL/SQL and Python programming - Solid understanding of AWS Database Services such as Aurora (PostgreSQL) and RDS - Experience in database scripting, stored procedures, data clean-up, and data migration - Knowledge of data modeling, ETL processes, and query optimization - Familiarity with data pipelines, automation, and cloud data management workflows - Ability to troubleshoot database issues and improve performance metrics - Experience working with large-scale datasets and handling complex data transformations This is a contractual/temporary position for a duration of 6 months. The work location is remote.