Senior Data Engineer

Suncoast Credit Union•Tampa, FL

1d•Remote

About The Position

The Senior Data Engineer designs, evaluates, and tests data infrastructures. This role is in charge of creating solutions that fits the needs of the business. As part of this, it is required to have current knowledge and continue to learn the applicable methods and tools the business provides to facilitate the ingestion of data to the credit union. A working knowledge of this process is key in order to develop solutions that fit the needs and within the parameters of the tools available.

Requirements

Bachelor's degree in finance, economics, computer science, mathematics or a related field. (A comparable combination of work experience and training may be substituted for education requirements.)
7+ years of experience making data usable to the end users and working in a complex data environment
7+ years of experience following Platforms Microsoft SQL Server, SSRS, SSAS, Stored Procedure Creation, Trigger definition and implementation, optimizing and indexing, base knowledge of views, tables, and database DDL and SQL Server Integration Services (SSIS)
Experience using Development Transact SQL
Proficient with the following tools;
Microsoft Azure (5 years): portal and resource navigation
Azure Data Factory (5 years) : developing pipelines, pipeline activities, troubleshooting, etc.
REST API
Git Hub: creating, updating, and submitting code
Agile Methodology (1 year): Kanban method of limiting work in progress
Developing ETL Processes
Delta Lakes
Lakehouse Architecture
2+ years of experience designing data structure for a production environment
Ability to prioritize tasks by effectively managing competing and changing priorities to meet deadlines
Accurate, detail-oriented, and organized with task management
Ability to analyze and resolve difficult and often complex problems or situations
Strong written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators
Strong knowledge and understanding of credit union products, services, policies, and procedures
Strong knowledge and understanding of regulatory compliance
Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties

Responsibilities

Builds systems and infrastructures that collect and process data according to company needs and goals.
Builds, evolves and scales out infrastructure to ingest, process and extract meaning out data.
Designs, develops, and implements statistical models to carry out various novel aspects of classification and information extraction from data.
Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes.
Analyzes data to spot anomalies, trends and correlate similar data sets.
Designs, develops, and implements natural language processing software modules.
Troubleshoots problems, identifies possible solutions, and resolves accordingly.
Work with business counterparts to define requirements for data desired to be provisioned updating defined requirement document templates in partnership with business counterpart.
Work with the manager to transform business requirements into appropriate schema and data model.
Ensure design efficiency to minimize data refresh lags between systems to report timely data.
Deploy data architectures based on the standards set by the manager which drive Suncoast's data strategy implementation and transform business strategies into information architectures.
Follow & execute on strong and measurable processes, tools and engineered data management solutions to support all data platforms – such as data warehouse, lakes, visualization tools, master data management, and advanced analytics tools.
Responsible for designing and developing ETL process for extracting data from multiple source systems, transforming the data into a usable fashion, and loading it into data platforms.
Build best practices and help establish standard operating procedures for data governance and quality.
Utilize Azure Data Factory to create pipelines that create, move, and transform data amongst the data stack.
Architect advanced data solutions for current for future data processes
Mentor fellow teammates and assist in an advisory capacity.
Maintain knowledge and understanding of current trends, laws, and issues affecting the area of expertise.
Attend educational events to increase professional knowledge.
Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs.