Overview:
We're always looking for talent that believes in having fun. At PENN Entertainment, you'll get to be a part of an exciting industry, where the days and nights are fast paced. You'll work with an incredibly diverse set of co-workers driven by their enthusiasm for helping people find and have more fun. You'll also get to work at a company that cares about your career growth and will help you get the support you need to expand your possibilities.
Click HERE to learn more about our Day 1 Benefits, 401k Program, Company Perks, Career Opportunities, Advancement Programs, Scholarships and more!
Responsibilities:
The Senior Data Engineer works closely with the Engineering and Analytics Leads in a small, cross-functional team to develop a comprehensive data platform. This role also leverages data from ever increasing sources to assist in modeling for affinity, personalization, offers, promotions, etc.
* Develops new, comprehensive platforms to support Company initiatives.
* Partners with the Business Analytics Team, and internal technology teams to collect and document solution requirements, data access, process automation, and performance objectives. Makes recommendations based upon findings.
* Partners with all necessary technology partners to design, develop, deploy, and maintain an enhanced data stack and data processing pipeline.
* Establishes foundation for future implementations and automation requirements for cloud environments.
* Develops and integrates monitoring for the cloud platforms and data pipelines to ensure the highest levels of data quality and availability.
* Maintains strict confidentiality in all departmental and company matters.
* Responsible for ensuring the compliance with all regulatory compliance within area of responsibility and reporting potential issues to Executive Management.
Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be at least 21 years of age.
* Bachelor's degree (B.A./B.S.) in Computer Science, Engineering, or related field from a four-year college or university; or five or more years of software engineering or data automation experience; or equivalent combination of education and experience. Must have at least three years of experience implementing Data Lake/Hadoop platforms.
* Must be proficient in Microsoft Applications (Word, Excel, Outlook, and Power Point). Must have experience developing with one or more programming languages (Java, Python, etc..).
* Must have experience with one or more of Beam, Flume, Kafka, Solr Zookeeper, or similar required.
* Must have experience with one or more SQL on Hadoop technologies (i.e. Hive, Spark).
* Must have knowledge on how to bring structured and unstructured data into a data lake for mining and modelling.
* Must have experience working on data lake implementations specifically AWS Lake Formation (Glue, EMR, S3, Redshift, Athena, etc.)
* Knowledge with CI/CD configuration pipelines into the cloud using Jenkins. Experience with tools such as Airflow, Dagster, or DBT highly preferred.
* Must have strong critical thinking skills and technical skills.
* Ability to adapt to changes in prioritization or schedules of items in the work queue as necessary.
* Ability to work in a fast-paced environment, while meeting deadlines and being proactive when working on tasks.
* Must have strong problem solving, organizational, analytical, interpersonal and communication skills (verbal and written).
* Must have excellent project and time management skills with the ability to multi-task and prioritize.
* Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
* Must have the ability to interact with guests, staff and colleagues and resolve problems and conflicts in a diplomatic and tactful manner.
* Strong client interface and presentation skills highly preferred.
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