Transform how we understand and leverage financial data across our Media and Entertainment ecosystem by architecting sophisticated data infrastructure that turns complex financial information into actionable insights, driving strategic decision-making for global teams.
Requirements
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Responsibilities
- Design and develop scalable data applications and intelligent pipelines
- Create comprehensive reporting solutions across visualization platforms
- Establish automated, efficient processes for advanced data analysis
- Build robust data infrastructure using ground-breaking AWS technologies
- Collaborate across teams to extract, transform, and load diverse datasets
- Exploring innovative data transformation techniques
- Developing intelligent, automated reporting solutions
Other
- 3+ years of data engineering experience
- Bachelor's degree
- Collaborating with cross-functional teams to solve complex analytical challenges
- Researching emerging technologies that could revolutionize our data strategy
- The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market.
