PeopleSoft Change Management & Training Consultant

PeopleSoft Change Management & Training Consultant

Posted 4 days ago by 1751006910

Negotiable
Outside
Remote
USA

Summary: The role of PeopleSoft Change Management & Training Consultant involves designing, developing, and maintaining complex enterprise databases, data lakes, and data warehouses, with a focus on PostgreSQL and MongoDB. The consultant will collaborate with various teams to implement data-centric solutions and ensure optimal database performance while supporting migration and integration efforts. The position requires extensive experience in database administration and cloud infrastructure, particularly within AWS. The role can be performed remotely or from Miami, Florida.

Key Responsibilities:

  • Design, develop, and maintain complex enterprise databases, data lakes, and data warehouses.
  • Design complex database architecture, including data modeling, database schema design, and database security.
  • Design, develop and implement plans for migrating data.
  • Support implementation of data-centric, integrated software, hardware, cloud, and mobile solutions to meet system requirements.
  • Provide database maintenance and operations recommendations for implementing complex web applications, data-sharing initiatives, reports, and dashboards.
  • Collaborate and consult with applications, infrastructure, and system operations teams to help automate the end-to-end operations of applications and systems in AWS Cloud.
  • Develop standards and data scripts to monitor and alert various cloud-based systems and applications to help ensure Service Level Agreements and other performance metrics are met.
  • Design, develop, and support Extract Transform and Load (ETL) processes to extract data from various sources, transform it to meet the needs of the organization, and load complex data elements into multiple databases, data lakes, and data warehouses.
  • Monitor database performance, troubleshoot errors, and debug.
  • Perform tasks in implementing complex data strategies, system development processes, architectural planning, system integration testing, operations, and implementation.
  • Administer HBX databases, including monitoring, backup and recovery, and database security, and optimize the database performance, including identifying and resolving performance issues and ensuring that the database meets performance requirements.
  • Provide innovative ideas for data extraction, data sharing, and data development approaches, and support database and application integration efforts.
  • Provide data-related support for all system testing efforts, including unit testing, load testing, end-to-end testing, validation testing, and user acceptance testing.
  • Perform PostgreSQL Server database administration, manage role-based (RBAC) user and system accounts, patch Management, and maintain Replication and Disaster Recovery (DR) Environments.
  • Perform Database migration for PostgreSQL and Mongo DB databases between various environments, including data centers and cloud environments such as Amazon Web Services (AWS).
  • Perform hands-on maintenance activities such as vacuum, and full vacuum, and analyze the PostgreSQL Database.
  • Perform database server maintenance, including upgrades of the PostgreSQL Database and storage management of PostgreSQL and MongoDB.
  • Perform Installation and maintenance of MongoDB database for high availability.
  • Develop SQL queries for optimal performance on PostgreSQL, create and manage indices and develop No SQL queries on MongoDB and create and manage indices.

Key Skills:

  • A minimum of six (6) years of experience designing databases, queries, reports, and/or providing solutions for large-scale enterprise database requirements.
  • A minimum of four (4) years of experience in a complex environment building complex data extractions, queries, or databases utilizing PostgreSQL, Informatica, and MongoDB.
  • A minimum of four (4) years of experience with tools such as Bamboo, Jenkins, Maven, Bitbucket, Jira, GIT, etc.
  • A minimum of four (4) years of experience in document management systems.
  • A minimum of four (4) years of experience with supporting applications in a Cloud infrastructure on AWS (Amazon Web Services) and computing AMI virtual machines on Elastic Compute Cloud (EC2), continuous integration (CI), and Continuous deployment (CD) processes.
  • A minimum of four (4) years of experience monitoring production database activities and batch jobs for operational improvements.
  • A minimum of two (2) years of experience in large-volume database migration efforts.
  • A minimum of four (4) years of experience in PostgreSQL Server database administration, patch management, maintenance, and/or writing complex SQL codes, stored procedures, and performing data extractions.
  • A minimum of four (4) years of hands-on experience with performing database maintenance activities in production and/or lower environments.
  • Experience with supporting the installation and maintenance of databases for high availability.
  • Strong understanding of database architecture and design, including normalization, indexing, partitioning, and replication.
  • Experience managing and optimizing large databases, including performance tuning and capacity planning.
  • Experience in data modeling, ETL processes, and data warehousing.
  • Experience in SQL complex queries and batch performance optimizations.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Description

  • Design, develop, and maintain complex enterprise databases, data lakes, and data warehouses.
  • Design complex database architecture, including data modeling, database schema design, and database security.
  • Design, develop and implement plans for migrating data.
  • Support implementation of data-centric, integrated software, hardware, cloud, and mobile solutions to meet system requirements.
  • Provide database maintenance and operations recommendations for implementing complex web applications, data-sharing initiatives, reports, and dashboards.
  • Collaborate and consult with applications, infrastructure, and system operations teams to help automate the end-to-end operations of applications and systems in AWS Cloud.
  • Develop standards and data scripts to monitor and alert various cloud-based systems and applications to help ensure Service Level Agreements and other performance metrics are met.
  • Design, develop, and support Extract Transform and Load (ETL) processes to extract data from various sources, transform it to meet the needs of the organization, and load complex data elements into multiple databases, data lakes, and data warehouses.
  • Monitor database performance, troubleshoot errors, and debug.
  • Perform tasks in implementing complex data strategies, system development processes, architectural planning, system integration testing, operations, and implementation.
  • Administer HBX databases, including monitoring, backup and recovery, and database security, and optimize the database performance, including identifying and resolving performance issues and ensuring that the database meets performance requirements.
  • Provide innovative ideas for data extraction, data sharing, and data development approaches, and support database and application integration efforts.
  • Provide data-related support for all system testing efforts, including unit testing, load testing, end-to-end testing, validation testing, and user acceptance testing.
  • Perform PostgreSQL Server database administration, manage role-based (RBAC) user and system accounts, patch Management, and maintain Replication and Disaster Recovery (DR) Environments.
  • Perform Database migration for PostgreSQL and Mongo DB databases between various environments, including data centers and cloud environments such as Amazon Web Services (AWS).
  • Perform hands-on maintenance activities such as vacuum, and full vacuum, and analyze the PostgreSQL Database.
  • Perform database server maintenance, including upgrades of the PostgreSQL Database and storage management of PostgreSQL and MongoDB.
  • Perform Installation and maintenance of MongoDB database for high availability.
  • Develop SQL queries for optimal performance on PostgreSQL, create and manage indices and develop No SQL queries on MongoDB and create and manage indices.

Qualification

  • A minimum of six (6) years of experience designing databases, queries, reports, and/or providing solutions for large-scale enterprise database requirements.
  • A minimum of four (4) years of experience in a complex environment building complex data extractions, queries, or databases utilizing PostgreSQL, Informatica, and MongoDB.
  • A minimum of four (4) years of experience with tools such as Bamboo, Jenkins, Maven, Bitbucket, Jira, GIT, etc.
  • A minimum of four (4) years of experience in document management systems.
  • A minimum of four (4) years of experience with supporting applications in a Cloud infrastructure on AWS (Amazon Web Services) and computing AMI virtual machines on Elastic Compute Cloud (EC2), continuous integration (CI), and Continuous deployment (CD) processes.
  • A minimum of four (4) years of experience monitoring production database activities and batch jobs for operational improvements.
  • A minimum of two (2) years of experience in large-volume database migration efforts.
  • A minimum of four (4) years of experience in PostgreSQL Server database administration, patch management, maintenance, and/or writing complex SQL codes, stored procedures, and performing data extractions.
  • A minimum of four (4) years of hands-on experience with performing database maintenance activities in production and/or lower environments.
  • Experience with supporting the installation and maintenance of databases for high availability.
  • Strong understanding of database architecture and design, including normalization, indexing, partitioning, and replication.
  • Experience managing and optimizing large databases, including performance tuning and capacity planning.
  • Experience in data modeling, ETL processes, and data warehousing.
  • Experience in SQL complex queries and batch performance optimizations