FBS Assoc Data Engineer

About the Role

• Responsible for acquiring, curating, and publishing data both on-prem and in the cloud for analytical or operational uses for simple and basic scenarios.
• Ensures data is in a ready-to-use form that creates a single version of the truth across all data consumers.
• Translates business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks.
• Consults on data projects of limited complexity, with coaching and guidance, to understand design requirements and existing business processes to lead in the design, development, and implementation of data products.
• Practices code management and integration with current architectural and data governance guidelines with oversight.
• Produces data building blocks, data models, and data flows for varying client requests with assistance and coaching.
• Creates business user access methods to structured and unstructured data.
• Translates business data stories into a technical story breakdown structure and work estimate.
• Develops and maintains simple scalable data pipelines for both streaming and batch requirements and builds out new API integrations.
• Preps/cleanses data to optimize for downstream reporting via standard visualization or AI/ML tools with significant coaching and feedback.
• Executes on mid-size projects within timelines.
• Executes on defined projects with some guidance.

Key Responsibilities

• Acquiring, curating, and publishing data for analytical or operational uses.
• Translating business analytic requests/requirements into technical tasks.
• Designing, developing, and implementing data products.
• Producing data building blocks, data models, and data flows.
• Creating business user access methods to structured and unstructured data.
• Utilizing techniques such as mapping data to a common data model, natural language processing, transforming data, AI, statistical computations, and validation of data content.
• Developing and maintaining simple scalable data pipelines for streaming and batch requirements.
• Building out new API integrations.
• Prepping and cleansing data for downstream reporting.

Requirements & Tech Stack

• Knowledge of various technologies from big data, relational and non-relational databases, cloud environments, different programming languages, and various reporting tools.
• Training is required as needed.
• Basic knowledge of data governance concepts with little to no experience in application.
• Projects are basic in nature and require coaching and assistance.

Qualifications

• N/A (No explicit educational qualifications were provided in the text.)

Benefits

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development
• Note: Benefits differ based on employee level.