AWS Data Engineer

JD 
AWS Data Engineer:-
Provide technical expertise and support in the use of Postgres RDS
Define file organization, indexing methods, and security procedures for specific user applications.
Create and maintain database objects such as tables, views, index, constraints for data platform and custom applications.
Develop, implement, and maintain database backup and recovery procedures for the processing environments, and ensures that data integrity, security, and recoverability are built into the RDS and in line with other platform procedures and processes.
Drive end-to-end availability, performance monitoring, and capacity planning for PostgreSQL, using native and available/approved 3rd party tools.
Design and implement automation using scripts and database functions.

Assist in using AWS cloud technologies like Redshift, Glue, EC2, S3, etc to build a scalable cloud data platform.
Develop Data Pipelines to build our data lake in AWS, leveraging technologies like EC2, S3, Lambda, Glue, DynamoDB, Redshift, etc
Assist in presenting cloud data solutions to given use cases, giving guidance on options in architecting AWS data solutions and concisely presenting the pros and cons and alternatives to proposed solutions.
Learn about workforce transformation by receiving knowledge transfer, operational guidance and training to team members on AWS cloud data tools and technologies.
Assist in providing data and analytical solutions to ensure efficient manipulation, organization and sharing of information, data and/or master data in a data lake, datawarehouse, and data-mart construct using AWS technologies.
Assist in collaborating with Cloud Architect to define the appropriate cloud database solutions, such as AWS Redshift, Database Migration Services, Glue, EMR, EC2, S3, Relational Database Service (RDS)/Aurora, and Amazon Kinesis
Assist in defining access patterns, storage methods, and integration patterns for the movement and maintenance of data into unstructured, relational, and NoSQL databases.
Assist in collaborating with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Assist in analyzing, defining and documenting system requirements for data, workflow, logical processes, interfaces with other systems, auditing, reporting requirements and production configuration.
Monitor database and related systems performance and support troubleshooting and optimizations as required,
Perform debugging on database scripts & program and resolve conflicts.