SCON - Data Monitoring Analyst

Accenture Federal Services•Washington, DC

2d•$74,800 - $138,700

About The Position

Accenture Federal Services is seeking a Database Administrator / Architect Analyst to support the design, administration, automation, and optimization of enterprise database environments. The role combines database administration, architecture, performance tuning, and automation to ensure reliable, secure, and scalable database operations. The position requires U.S. citizenship.

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
1–3 years of experience in database administration, database development, or related technical roles.
Knowledge of database architecture, data modeling, and normalization principles.
Experience with SQL and database troubleshooting.
Proficiency in Python and/or shell scripting.
Strong analytical, problem-solving, and troubleshooting skills.
U.S. citizenship.
U.S. work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

Experience with database performance tuning and optimization.
Familiarity with cloud-based database environments.
Experience with automation tools such as Ansible.
Knowledge of ETL processes and data integration concepts.

Responsibilities

Install, configure, maintain, and optimize Oracle, PostgreSQL, MySQL, and Redshift database platforms.
Support database provisioning, upgrades, backup and recovery processes, and disaster recovery planning.
Monitor database performance and troubleshoot issues through root cause analysis.
Design and implement highly available, scalable database solutions.
Develop and optimize SQL queries, stored procedures, functions, and packages.
Create and maintain database objects, schemas, and DDL scripts.
Develop Python and shell scripts to automate database administration and operational tasks.
Build automation workflows for monitoring, maintenance, backups, and reporting.
Automate data extraction, transformation, and loading (ETL) processes.
Develop monitoring and alerting solutions to improve database reliability and performance.
Create reusable automation tools and scripts to increase operational efficiency.