SR ENGINEER - DATA (ENTERPRISE ANALYTICS)

The Venetian Las Vegas•Las Vegas, NV

48d

About The Position

Position Overview:The primary responsibility of the Sr. Engineer - Data is to provide guidance for the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. This role will work closely and collaboratively with members of the Enterprise Analytics, BI and Data Science teams to define requirement, analyze data, integrate data from a variety of sources, and deploy high quality data models and data marts in support of the analytics needs of the business. All duties are to be performed in accordance with departmental and The Venetian Resort’s policies, practices, and procedures. The Enterprise Analytics Resource's goal is to generate quality data models in support of reporting, analysis and forecasting by business entities.

Requirements

21 years of age.
Proof of authorization to work in the United States
Bachelor's degree in computer science, information technology, business administration, finance, or a related field
Must be able to obtain and maintain Nevada Gaming Control Board registration and any other certification or license, as required by law or policy.
Strong command of relational databases and SQL. Extract, Transform, and Load (ETL) data into a relational database.
General data manipulation skills: read in data, process, and clean it, transform, and recode it, merge different data sets together, reformat data between wide and long, etc.
Demonstrated ability to learn new techniques and troubleshoot code without support.
Demonstrated ability to work independently and be a self-starter.
Excellent listening, interpersonal, communication and problem-solving skills.
Demonstrated ability to work effectively in teams, in both a lead and support role.
Use APIs to push and pull data from various data systems and platforms.
Effective time management skills, including demonstrated ability to manage and prioritize multiple tasks and projects.
Knowledge of ETL processes and tools for data transformation and loading. (e.g., Alteryx, SSIS)
Ability to document processes, configurations, and best practices.
Fast, clear, and independent thinker who is naturally curious about how things work, is metrics and number savvy, has an analytical mindset and has demonstrated leadership ability.
Ability to see the big picture/whole system and execute on grass root level to rapidly demonstrate impact and value to the organization.
Never satisfied with the status quo, can show success in results, and can thrive in a fast-paced, customer-centric, and ever-changing environment.
Ability to communicate clearly and effectively in English, both in spoken and written form.
Strong interpersonal skills with the ability to communicate effectively with guests and other Team Members of different backgrounds and levels of experience.
Must be able to work varied shifts, including nights, weekends, and holidays.
Physically access all areas of the property and drive areas with or without a reasonable accommodation.
Maintain composure under pressure and consistently meet deadlines with internal and external customers and contacts.
Ability to interact appropriately and effectively with guests, management, other team members, and outside contacts.
Ability for prolonged periods of time to walk, stand, stretch, bend, and kneel.
Work in a fast-paced and busy environment.
Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, dust, and cigarette smoke.

Nice To Haves

Experience working with cloud infrastructure services like Google Cloud is preferred but not required.

Responsibilities

Assembling large, complex sets of data that meet non-functional and functional business requirements.
Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
Work with end users to understand data requirements and translate them into effective data models.
Ensure data accuracy and integrity across multiple sources and systems.
Collaborate with data scientists to support used algorithms and analytics.
Design and implement ETL processes for data transformation and preparation.
Manage data pipelines for analytics and operational use.
Help Implement and manage security controls to ensure data access aligns with organizational policies and user roles.
Provide technical expertise and guidance to stakeholders during the development and implementation of data assets.
Identify and address performance bottlenecks to ensure efficient data processing and retrieval.
Stay abreast of the latest features, updates, and best practices in IBM Cognos Analytics.
Engage in professional development activities to enhance skills and knowledge.