Sr Data Engineer

Department/Group Description

The Disney Decision Science + Integration (DDSI) organization is responsible for supporting clients across The Walt Disney Company including the Disney Parks, Experiences and Products segment which include Parks & Resorts both domestic and international, Consumer Products and Disney Signature Experiences as well as the Disney Entertainment segment which include Studios Content (Disney Theatrical Group), General Entertainment Content, and ESPN and Sports Content.

DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions, and drive business value. The Data Engineering team partners with Decision Science Products, Decision Science, Client and Technology team members on various development and sustainment projects, ad-hoc requests, prototyping and research initiatives by providing data pipeline and database engineering services. The DDSI Data Engineering (DE) team seeks a Data Engineer to design, develop, enhance, and implement systems for multiple analytical applications.

The work will involve various data engineering activities such as maintaining and enhancing data acquisition processes, data validation processes, ETL/ELT data pipelines, and overall process notification methods.

• Participate in data requirements gathering, source-to-target mapping, and data validation scripting and review.
• Develop, monitor, and maintain ETL/ELT data pipelines and produce datasets as input to science models and visualizations.
• Ensure quality deliverables through technical reviews within the data engineering team.
• Develop an understanding of the business domain and processes and apply that knowledge to deliverables.
• Communicate data engineering progress to the project leadership team and actively participate in meetings and discussions.

• Bachelor’s degree in Computer Science, Mathematics, Software Engineering, or related field, or equivalent experience.
• 5+ years of experience with ELT/ETL development using SQL and Python.

• Professional Apache Flink Experience.
• 2+ years developing and maintaining data pipeline processing with a framework such as Apache Flink, Beam, or Kafka Streams.
• Experience and understanding of one or more business domains to assist in gathering/refining data requirements and data design solutions.
• Experience with developing in a multi-environment (Dev, QA, Prod, etc.) and Dev Ops procedures for code deployment/promotion.
• Strong understanding of database design and proficiency using various database platforms, such as Postgre
  
  SQL or Snowflake.
• Experience managing and deploying code using a source control product such as Git Lab or Git Hub.
• Able to effectively formulate solutions and communicate complex technical concepts to non-technical team members.

• Master’s degree in Computer Science, Mathematics, Engineering, or related field preferred.
• Experience with infrastructure as Code, Docker and containerization, and elastic scaling with Kubernetes or a similar framework, and with AWS.
• Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar.
• Demonstrated proficiency with API development.
• Knowledgeable on cloud architecture and product offerings, preferably AWS.

EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.

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