Data Infrastructure Engineer Job Kennesaw area,Georgia USA,Software Development

Job Title: Data Infrastructure Engineer

Location: Kennesaw, Georgia

Regular/Temporary: Regular

Full/Part Time: Full-Time

Job : 292336

About Us

Are you ready to transform lives through academic excellence, innovative research, strong community partnerships and economic opportunity? Kennesaw State University is one of the 50 largest public institutions in the country. With growing enrollment and global reach, we continue to expand our institutional influence and prominence beyond the state of Georgia. We offer more than 190 undergraduate, graduate, and doctoral degrees to empower our 47,000 students to become thought leaders, lifelong learners, and informed global citizens.

Our entrepreneurial spirit, high-impact research, and Division I athletics draw students from throughout the region and from more than 100 countries across the globe. Our university's vibrant culture, career opportunities, rich benefits, and values of respect, integrity, collaboration, inclusivity, and accountability make us an employer of choice. We are part of the University System of Georgia. We are searching for talented people to join Kennesaw State University in our vision.

Come Take Flight at KSU!

Location

(Primary Location for Job Responsibilities) Our Kennesaw campus is located at 1000 Chastain Road NW, Kennesaw, GA 30144.

Our Marietta campus is located at 1100 South Marietta Parkway, Marietta, GA 30060.

Job Summary

Focuses on building and maintaining the data infrastructure including the extraction, loading, and staging of data from various data sources, both on-premises or in the cloud. Ensures the seamless and secure transfer of data, optimizing for performance, integration and reliability to enable subsequent data transformation and modeling processes for enterprise reporting and analytics.

Responsibilities

Develops, tests, and implements data pipelines to efficiently, securely, and reliably ingest data from various data sources into the enterprise data lake or data warehouse

Collaborates with data architects and data source SMEs to understand requirements and designs data pipelines accordingly

Develops and maintains robust data integrity checks, ensuring data accuracy, timeliness, and consistency

Utilizes cloud tools and custom scripts for validation, set up automated anomaly detection, and collaborates with stakeholders to align quality checks with data requirements

Enables integration of data from various data sources, such as databases, cloud services and APIs, to facilitate seamless data flow for enterprise and self-service reporting and analytics

Monitors and optimizes data pipelines, identifies and troubleshoots issues using tools such as Azure Monitor or similar system

Implements automated alerts and collaborates with architects to adopt best practices in pipeline design for enhanced performance

Maintains compliance with data security policies and regulations in the data infrastructure

Implements encryption, manage access controls, conduct security audits, and stay updated with security best practices to safeguard data integrity and privacy

Manages the storage structure within the data lake or data warehouse, optimizing resource utilization and ensuring efficient integration with data transformation and modeling processes

Supports senior technical staff in project planning and the development of standard operating procedures

Contributes to the establishment of best practices, ensuring project alignment with technical standards and organizational goals

Creates and regularly updates technical documentation for data pipeline processes

Ensures clear, comprehensive, and accessible documentation is available, covering all aspects of pipeline design, operation, and maintenance

Required Qualifications Educational Requirements

High school diploma or equivalent

Required Experience

Five (5) years of related IT experience.

Preferred Qualifications Preferred Educational Qualifications

An undergraduate or advanced degree from an accredited institution of higher education in Computer Science, Information Systems, Business Administration or related field

Preferred Experience

Experience working with reporting tools such as Power BI, Tableau, etc.
Previous work experience in Higher Education

Knowledge, Skills, & Abilities Abilities

Commitment to continuous learning and staying updated with the latest trends and best practices in data engineering
Able to handle multiple tasks or projects at one time meeting assigned deadlines

Knowledge

Familiarity with data protection and privacy laws and regulations (i.e., FERPA, HIPAA, etc.)
Knowledge of various file formats used in data storage, like parquet, avro, csv, etc., and their implications on performance and storage
Understanding of cloud storage services, such as blob storage, data lakes, data lake houses, and data warehouses
Understanding of data warehouse architecture patterns (e.g., Medallion Architecture, OBT, Materialized View Pattern, Star-Schema, etc.)
Knowledge of data warehousing principles, including data quality, data…


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