AWS+DB Developer

We are seeking an experienced AWS ETL Developer with a strong track record of designing, developing, and implementing efficient cloud-based data solutions. The ideal candidate will have hands-on expertise in AWS services, ETL development, and database technologies including MongoDB, PostgreSQL, MS SQL Server, and Oracle. The role requires building scalable data pipelines, integrating data from multiple sources, and ensuring high data quality, security, and performance in cloud environments. Design, develop, and implement cloud-based data solutions using AWS services and best practices. Develop and maintain robust ETL processes for extracting, transforming, and loading data from diverse data sources. Build and optimize scalable data pipelines to support analytics, reporting, and business intelligence requirements. Design and manage database solutions across MongoDB, PostgreSQL, MS SQL Server, and Oracle environments. Perform data modeling, database design, query optimization, and performance tuning activities. Integrate structured and unstructured data from multiple on-premises and cloud-based systems. Implement data quality checks, validation processes, and monitoring mechanisms to ensure data integrity and reliability. Collaborate with business stakeholders, data engineers, architects, and application teams to understand data requirements and deliver effective solutions. Troubleshoot and resolve ETL failures, database performance issues, and data integration challenges. . Develop technical documentation, deployment procedures, and operational support documentation. Participate in code reviews, release management, and continuous improvement initiatives. Required Skills & Experience: Strong hands-on experience in AWS cloud services and cloud-based data solution development. Proven experience in ETL design, development, optimization, and support. Expertise in MongoDB, PostgreSQL, MS SQL Server, and Oracle databases. Strong proficiency in SQL, stored procedures, query tuning, and database performance optimization. Experience in designing and implementing scalable data integration and data migration solutions. Good understanding of data warehousing concepts, data modeling, and data governance practices. Experience with source control, CI/CD practices, and deployment automation is preferred. Strong analytical, problem-solving, and debugging skills. Excellent communication and stakeholder management abilities