Developer

By | August 10, 2023

Gravity IT Resources

Developer
Functions performed –

Actively working to obtain a broad knowledge of new technology, systems, and business processes.
Assist in gathering business requirements for proposed applications and enhancements.
Perform programming assignments requiring an aptitude of established programming standards, methods, and best practices.
Design application and database components for small-sized development projects.
Code application programs, prepare test data, and conduct manual and automated tests to verify program reliability and data integrity.
Maintain and modify applications; make approved changes by amending application documentation, developing detailed programming logic, and implementing coding changes.
Provide support for application problems and user issues.
Provide user and system documentation for operational and technical support.
Assist in the discovery and investigation of critical production problems as required.
Project and task management and reporting as necessary.
Research new tools and/or technologies.
Assist with various projects as may be required to contribute to the efficiency and effectiveness of the work.

Skills/Experience

2+ years of IT experience in data-related roles with increasing responsibility.
2+ years of work experience in data management disciplines including [data integration, modeling, optimization, and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks.
Strong experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative.
1+ years of experience with popular database programming languages including [SQL, PL/SQL, others] for relational databases and awareness on upcoming technologies for nonrelational databases.
Knowledge of Semarchy (SEMSQL and xDM) modeling is a strong plus but not required/compulsory.
1+ years of experience with popular open-source and commercial data science platforms such as Python, R, Informatica IDMC or others.
Basic experience in working with data governance organizations (preferred).
Demonstrated ability to work across multiple deployment environments including [cloud, on-premises, and hybrid]
Adept in agile methodologies and capable of applying DevOps principles.
Deep knowledge or previous experience working with master data management would be a plus.