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Data Engineer
4 months ago
What you get to do:
The Data Engineer builds platforms and systems to manage, store, and transfer data leveraging a wide range of systems.
- Builds / oversees platforms and systems to manage and store data from internal and external sources by leveraging both distributed and local structures
- Establishes processes / structures based on business and technical requirements to channel data from multiple inputs and route appropriately using data structures available
- Develops tools to facilitate data integration, analytics, data cleaning / transformation, and the deployment of ML/AI models
- Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements
What it takes to succeed:
- Graduate degree in Data Science, Computer Science or a related field
- 5 years of Data Engineering experience
- Working knowledge in SQL-based technologies (e.g PostgreSQL, MySQL) and NoSQL technologies (e.g. MongoDB)
- Working knowledge in machine learning techniques and algorithms (-NN, Naive Bayes, SVM, Decision Forests, etc.)
Core Technical Skills
- Proficient in software development with a focus in data / data systems (Java), databases (SQL, Postgres, Mongo) and development technologies (GIT, JIRA)
- Possesses knowledge of data pipelining, data integration, data warehouses, and databases
- Understanding of relational and warehousing database technology working with at least one of the major databases platforms (e.g., Oracle, SQLServer, Teradata, MySQL, or Postgres)
- Practical experience with big data processing frameworks and techniques such as HDFS, MapReduce, Storage formats (Avro, Parquet), Stream processing, etc.
- Solid working knowledge of data processing tools using SQL, Spark, Python or similar open source and commercial technologies
- Knowledge of non-relational (Cassandra, MongoDB) databases preferred
- Predictive analytics and machine learning experience (scikit-learn, Tensorflow, MLlib, recommendation systems) preferred
- Experience with integrating to back-end/legacy environments
- Knowledge and familiarity with machine learning models application and production pipelines
Interpersonal and Leadership Skills
- Savvy problem solving instincts and abilities with attention to detail
- Comfortable in fast-paced and dynamic environments
- Ability to work efficiently as part of a collaborative team
Specializations
- Applied Machine Learning Engineer
- Focuses on building pipelines and capabilities needed to utilize machine learning models
- Productionizes machine learning models
The perks of the position:
- Paid Time Off
- Complimentary Park Tickets and Passes
- Park Discounts on Food and Merchandise
- Medical, Dental, and Vision Insurance
- 401K Retirement plan
- Voluntary Insurance
- Life Insurance
- Disability Benefits
- Tuition Reimbursement
- Dependent and Health Care Flexible Spending Accounts
- Employee Assistance Program
- Legal Assistance Plan
EEO Employer:
SEAWORLD PARKS & ENTERTAINMENT IS AN EQUAL OPPORTUNITY EMPLOYER. ALL APPLICANTS WILL BE CONSIDERED WITHOUT REGARD TO AGE, RACE, COLOR, RELIGION, SEX, NATIONAL ORIGIN, SEXUAL ORIENTATION, PREGNANCY, GENDER IDENTITY OR EXPRESSION, DISABILITY OR COVERED VETERAN STATUS.