Hi ,
My name is Sathish Kumar and I’m a Technical Recruiter with Seneca Resources. I came across your resume online and wanted to reach out as I’m currently recruiting on a Database Analyst position that I think may fit your background! The job description is below and I’m working directly with the hiring manager so can answer any questions you might have. If this position isn’t a good fit or if now’s not the right time, please let me know what to keep an eye out for in the future. Also, feel free to share the opportunity with your network - If anyone you refer gets the job, I will pay you a $250 referral bonus. Thanks for your consideration and I look forward to your response!
Position: Database Analyst
Location: Tallahassee, FL
Hours: 8 Hours
Job Description:
Overview for Database Analyst
The Contractor Personnel will be responsible for implementing the Florida PALM statewide accounting system at the Department under the direction of the Office of Information Technology (OIT) and the Office of Strategic Planning.
Database Analyst Job Description
This is data processing technical work: 1) planning, designing, and
enhancing a statewide, wide area, or comparable distributed computer
systems network for use by end-users including the hardware, software,
and communications components of distributed systems; and 2) designing,
coding, testing, and documenting applications software.
Preferred Qualifications and Experience
A bachelor's degree from an accredited college or university in
management information systems or in one of the computer sciences
and three (3) years of experience in Database Administration, DBMS
design and support or relevant computing environments.
- The Database Analyst must have knowledge and
experience in the following areas related to database
languages and integration:
a. Database Management Systems (DBMS): Familiarity with popular DBMS platforms such as Oracle, Microsoft SQL Server, MySQL, or PostgreSQL. Understanding the concepts of data modeling, table structures, and
query optimization.
b. Structured Query Language (SQL): Proficiency in SQL, including writing complex queries, optimizing database performance, and manipulating data using
SQL statements. Understanding of joins, subqueries, and indexing.
c. Data Integration Tools and Techniques: Knowledge of data integration methods and tools, such as ETL (Extract, Transform, Load) processes, data migration
strategies, and data synchronization techniques. Familiarity with tools like Informatica, Talend, or SSIS (SQL Server Integration Services).
d. API Integration: Understanding of API (Application Programming Interface) concepts and experience with integrating systems using APIs. Knowledge of RESTful APIs, SOAP, or other web service protocols. Ability to work with API documentation and make API calls for data retrieval or data synchronization purposes.
e. Data Mapping and Transformation: Proficiency in data mapping techniques to align data structures and fields between different systems. Experience in data
transformation processes to convert data formats, standardize data, or cleanse data during integration.
f. Data Warehousing Concepts: Understanding of data warehousing principles and practices. Knowledge of dimensional modeling, ETL processes for data
warehouse loading, and data mart design. Familiarity with tools like Snowflake, Amazon Redshift, or Microsoft Azure Synapse Analytics.
g. Data Governance and Data Quality: Awareness of data governance principles, including data standards, data quality rules, and data lineage. Understanding the
importance of data integrity, data validation, and data cleansing techniques during integration.
h. Database Performance Optimization: Knowledge of techniques for optimizing database performance, including query optimization, indexing strategies, and
database tuning. Ability to identify and resolve performance bottlenecks in integrated systems.
i. Data Security and Privacy: Understanding of data security principles and best practices, including data encryption, access controls, and data privacy
regulations (e.g., GDPR, HIPAA). Knowledge of secure data handling during integration processes.
j. Data Analysis and Reporting: Proficiency in data analysis tools and techniques to extract insights from integrated datasets. Experience in creating reports,
dashboards, or visualizations to present integrated data to stakeholders.
Best Regards,
R. Sathish Kumar
Talent Acquisition Expert
Direct : (205) 392-8715
rskumar@senecahq.com || https://www.linkedin.com/in/sathish-kumar-r-a00ba565/
SENECA | RESOURCES
10701 Parkridge Boulevard | Suite 160
Reston | VA | 20191
