Data Engineer[HybridRemote] (W2 ROLE)
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Job Location:
Orlando, FL - USA
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Tile: Data Engineer
Main technologies needed is experience with Gen AI SQL Python.
- 12 month contract can extend to 24 months
- Pay rate Candidate $77/hr. on W2
- Visa: USC GC GCEAD H4-EAD
- Hybrid 3 days onsite 2 remote
- Orlando Locals Highly preferred
Team/Business Segment:
The Disney Decision Science and Integration (DDSI) team leverages advanced technologies data analytics and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company.
Responsibilities/What You Will Do:
-Planning and leading research and development related to advanced analytic data solutions leveraging GenAI.
-Work with business and technology leaders to understand scope and requirements business needs and data from across the company in order to design and deliver the data pipelines necessary for best solutions.
-Consult and collaborate with project team members lead design reviews do hands-on development and communicate with colleagues and leaders.
Requirements:
- 7 years experience in data engineering development using multiple environments (Dev QA Prod etc.) and DevOps procedures for code deployment
- Experience with a variety of GenAI models tools and concepts
- 5 years of shown experience and expertise using SQL and Python
- 3 years using designing and building relational databases (preferably Snowflake or PostgreSQL)
- Experience translating project scope and high-level requirements into technical data engineering tasks
- Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
- Understanding of Knowledge Graphs Data Mesh and other data sharing platforms
- 3 years of experience leading and deploying code using a source control product such as GitLab/GitHub
- 2 years of experience with job scheduling software like Apache Airflow Amazon MWAA GitLab Runners or UC4
- Multiple years of experience with ELT/ETL data pipeline development and maintenance
- Experience using containerization technologies such as Docker or Kubernetes
Education:
- Bachelors degree (Computer Science Mathematics Software Engineering or related field or equivalent experience)
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
