AWS - DB Hands-on Architect

• Design and develop database tables, ensuring they are optimized for performance and scalability.
• Implement and manage data orchestration processes using tools such as Apache Airflow and AWS Step Functions.
• Develop and maintain stored procedures to enhance database functionality and efficiency.
• Perform database archival processes to manage data lifecycle effectively.
• Utilize AWS services such as Amazon S3, Glue ETL, and PostgreSQL to build and manage data pipelines.
• Work with large volumes of data, including billions of rows, to ensure data integrity and performance.
• Implement Extract, Transform, Load (ETL) processes using Apache Spark and Python.
• Create and manage dashboards and reports to provide insights into database performance and data quality.
• Collaborate with cross-functional teams to ensure database solutions align with business objectives.

This role requires a blend of hands-on technical skills and strategic thinking to ensure our database systems are robust, scalable, and efficient., * Proficiency in Amazon S3 for data storage and management.

• Experience with AWS Glue ETL for data processing and transformation.
• Strong programming skills in Python, with a focus on database operations.
• Experience with Apache Spark for large-scale data processing.
• Knowledge of Apache Airflow and AWS Step Functions for data orchestration.
• Expertise in PostgreSQL database design, development, and management.
• Familiarity with Iceberg for data lake management.
• Ability to create and manage dashboards and reports for data insights.
• Experience working with large databases and handling large volumes of data.

<>Preferred Skills

• Experience with DB archival processes.
• Knowledge of stored procedures and their implementation.
• Familiarity with data orchestration tools and practices.
• Strong analytical skills to manage and optimize database performance.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.