Information Technology_USA - USA_Engineer

Real Soft•Jacksonville, FL

23h•Onsite

About The Position

This role focuses on Data Strategy, Data Transformation and Integration, Data Source Identification, Data Modeling, Code Development and Testing, Problem Formulation, Applied Business Acumen, and Data Governance. The engineer will understand and apply data strategy principles, create data pipelines, identify suitable data sources, develop data models, write and test code, translate business problems into data solutions, provide recommendations to stakeholders, and implement data governance practices.

Requirements

Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.
Extracts data from identified databases.
Creates data pipelines and transforms data to a structure that is relevant to the problem by selecting appropriate techniques.
Develops knowledge of current analytics trends.
Supports the understanding of the priority order of requirements and service level agreements.
Helps identify the most suitable source for data that is fit for purpose.
Performs initial data quality checks on extracted data.
Analyses complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs.
Defines relational tables, primary and foreign keys, and stored procedures.
Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements.
Creates test cases to review and validate the proposed solution design.
Creates proofs of concept.
Tests the code using the appropriate testing approach.
Deploys software to production servers.
Contributes code documentation, maintains playbook, and provides timely progress updates.
Translates business problems within one's discipline to data-related or mathematical solutions.
Identifies methods such as analytics, big data analytics, and automation to solve business problems.
Shares use cases and examples demonstrating solution approaches.
Provides recommendations to business stakeholders to solve complex business issues.
Develops business cases for projects with projected return on investment or cost savings.
Translates business requirements into projects, activities, and tasks aligned to overall business strategy.
Serves as an interpreter and conduit between business needs and technology solutions.
Recommends new processes and ways of working.
Establishes, modifies, and documents data governance projects and recommendations.
Implements data governance practices in partnership with business stakeholders and peers.
Interprets company and regulatory policies on data.
Educates others on data governance processes, practices, policies, and guidelines.
Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.

Responsibilities

Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.
Extracts data from identified databases.
Creates data pipelines and transforms data to a structure that is relevant to the problem by selecting appropriate techniques.
Develops knowledge of current analytics trends.
Supports the understanding of the priority order of requirements and service level agreements.
Helps identify the most suitable source for data that is fit for purpose.
Performs initial data quality checks on extracted data.
Analyses complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs.
Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure.
Evaluates existing data models and physical databases for variances and discrepancies.
Develops efficient data flows.
Analyses data-related system integration challenges and proposes appropriate solutions.
Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements.
Creates test cases to review and validate the proposed solution design.
Creates proofs of concept.
Tests the code using the appropriate testing approach.
Deploys software to production servers.
Contributes code documentation, maintains playbook, and provides timely progress updates.
Translates business problems within one's discipline to data-related or mathematical solutions.
Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem.
Shares use cases and gives examples to demonstrate how the method would solve the business problem.
Provides recommendations to business stakeholders to solve complex business issues.
Develops business cases for projects with a projected return on investment or cost savings.
Translates business requirements into projects, activities, and tasks and aligns to overall business strategy.
Serves as an interpreter and conduit to connect business needs with tangible solutions and results.
Recommends new processes and ways of working.
Establishes, modifies, and documents data governance projects and recommendations.
Implements data governance practices in partnership with business stakeholders and peers.
Interprets company and regulatory policies on data.
Educates others on data governance processes, practices, policies, and guidelines.
Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.