Sr Soar Data Engineer

This is a Full Time Job

Location: Seattle, Washington, United States; Orlando, Florida, United States

Job Summary:

Enterprise Technology is an organization within Disney that has a mission to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

Our business customers encompass all domestic and international businesses and brands across The Walt Disney Company including Disney Studios, Walt Disney Parks & Resorts, ESPN, ABC, Marvel Studios, & Pixar to name a few.

About the Role:

Snowflake Data Engineer to assist in the building of a Snowflake Data Warehouse and develop data analytics solutions and algorithms to analyze raw data.

Responsibilities:
• Assist with Data architecture: Assist with building and validating data architecture.
• Data collection: Collecting data.
• Data pipelines: Designing, building, and fine-tuning data pipelines to load data into Snowflake from sources like databases, cloud storage, or streaming platforms.
• Data models: Designing and developing scalable data models and warehouses.
• Data security: Implementing data security policies.
• Research: Conducting research
• Trend analysis: Finding trends in raw data sets.
• Pattern identification: Identifying patterns and creating models.
• Task automation: Automating tasks.

Technical Skills:
• Proficiency in SQL, JavaScript and Data Vault or Dimensional Data Model. The developer should have a strong grasp of SQL, as Snowflake uses this language for queries. Write complex queries and optimize for performance.
• Data modeling expertise: understanding data structures and being able to design efficient data models tailored to Snowflake architecture.
• Snowflake-specific knowledge: Engineer should be well versed in Snowflake's unique features, like handling semi-structured data and its approach to data sharing and security.
• ETL process knowledge: engineer needs to manage data migrations to Snowflake. This includes extracting data from various data sourcing, transforming the data into usable formats and loading into the Snowflake platform.
• Cloud computing skills: Snowflake is a cloud-native platform, so familiarity with cloud services, particularly Azure or AWS is required.
• Performance tuning abilities: Developer should be adept at tuning Snowflake settings to balance performance and costs.
• Data Integration: Skills in integrating Snowflake with various data sources, including APIs, databases, and cloud storage.
• Data Quality: Practiced at implementing data validation and cleansing processes to ensure data accuracy and consistency.
• Data security and Compliance: Knowledge of Snowflake's security and compliance features, including role-based access control and secure data sharing.

Soft Skills
• Analytical thinking: Snowflake engineer must be able to analyze complex data patterns and optimize data storage and retrieval.
• Problem solving; Need to be able to troubleshoot issues that arise within the Snowflake platform efficiently.
• Attention to detail: Ensuring data accuracy and quality is paramount to this role.
• Adaptability: Engineer must keep up with new Snowflake features and best practices
• Collaboration: Work with cross-functional team. Good teamwork skills essential.
• Effective communication: Ability to clearly explain technical concepts to non-technical stakeholders.

Education/Qualifications:
• A B.S. in Computer Science, MIS or related degree
• A minimum of 5 years of related experience.
• Must have snowflake experience.

The hiring range for this position in Seattle, WA is $120,300 to $161,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.