Software Engineer [Multiple Positions Available]

DESCRIPTION:

Duties: Manage and optimize relational and non-relational databases, implementing strategies for backup, recovery, and archiving.

Perform exploratory data analysis to extract, clean, transform, and load data from large enterprise systems.

Implement and maintain cloud-based data pipelines to support scalable and reliable workflows.

Develop and maintain dynamic, interactive dashboards and automate recurring reports.

Utilize distributed computing frameworks for large-scale data processing.

Manage big-data storage and serialization formats and automate workflows using scheduling and orchestration frameworks.

Apply dimensional and enterprise data modeling techniques, and implement batch, micro-batch, and stream-based data processing methodologies.

Develop program increment plans and roadmaps and implement test-driven or behavior-driven development with continuous integration and delivery pipelines.

Manage infrastructure using declarative configuration and provisioning techniques.

Coach team members on design and development best practices and promote continuous improvement in product quality and team capabilities.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Information Technology and Management, Computer Science, Computer Engineering, or related field of study plus 3 years (36 months) of experience in the job offered or as Software Engineer, Software Developer, Systems Engineer, or related occupation.

The employer will alternatively accept a Bachelor's degree in Information Technology and Management, Computer Science, Computer Engineering, or related field of study plus 5 years (60 months) of experience in the job offered or as Software Engineer, Software Developer, Systems Engineer, or related occupation.

Skills Required: This position requires three (3) years of experience with the following: Performing exploratory data analysis on large-scale enterprise databases to identify trends, anomalies, and opportunities for data extraction, cleaning, transformation, and loading; Applying linear algebra, statistics, and geometrical algorithms to analyze and interpret datasets, enhancing data preprocessing and feature engineering for machine learning models; Managing and optimizing relational and NoSQL databases, including Postgres, MySQL, Cassandra, and DynamoDB for high performance, scalability, and reliability; Implementing and monitoring backup, recovery, and archiving strategies to safeguard data integrity and ensure availability in case of failures or disasters; Designing, developing, and automating end-to-end data workflows and cloud-based pipelines to enable seamless data movement, transformation, and integration across platforms and applications using ETL processes, ODBC connectors, and orchestration tools such as Airflow, Autosys, AWS Step Functions, DBT, or AWS Glue; Building and maintaining scalable data processing pipelines to handle large volumes of data using cluster computing frameworks inc...