Senior Software Engineer focusing on building scalable privacy solutions for Disney's media services. Collaborating cross-functionally to address complex privacy challenges using innovative technologies.
Responsibilities
Contribute to developing full-stack applications as part of a unified platform and user experience
Be a key player in a cross-functional team of engineers who build software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations.
Contribute to architecture, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines across the Data organization
Contribute to architecture and build world class modularized tooling to understand our very complex environments to come up with plans for simplification, migration, and maintenance.
Maintain software engineering and architecture best practices and standards within the team and wider organization, along with a culture of quality, innovation, and experimentation
Evangelize and evolve the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption
Build out a robust observability, alerting, logging, and system control plane that allows easy diagnosis of any issues across all our data pipelines.
Contribute to maintaining, updating, and expanding existing software deployments while maintaining strict uptime SLAs
Maintain detailed documentation of your work and changes to support data quality and data governance requirements
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
Be a part of the magic: Collaborate with product managers, architects, UX designers, and other engineers to drive the success of the Foundational Platform
Requirements
5+ years of data engineering experience in software engineering in the data space
Strong fundamental Scala and Python software programming skills
Good understanding of AWS or other cloud provider resources (S3)
Strong SQL skills and ability to creatively problem solve and dive deep into our data and software ecosystem
Hands-on production environment experience with distributed processing systems such as Apache Spark
Hands-on production experience with workflow orchestration systems such as Airflow for creating and maintaining data pipelines
Scripting language experience (Bash, PowerShell)
Knowledge of event-driven systems, event buses, and graph databases (Kinesis, Neo4J)
Experience with infrastructure-as-code (Terraform, Cloud Formation, etc.)
Experience with Docker and Docker orchestration tooling (k8s, EKS, ECS, etc.)
Experience developing and maintaining CI/CD environments
Experience with front-end visualization of large data sets (d3, Linkurious)
Experience with testing libraries (selenium, junit, jest)
Technologies such as OneTrust, Databricks, Jupyter, Snowflake, Redshift, Airflow, DynamoDB, Redis, Kubernetes, Kinesis, REST APIs, Terraform, Go SQL, Python, Scala, other computer software languages
Willingness and ability to learn and pick up new skillsets
Self-starting problem solver with an eye for detail and excellent analytical and communication skills.
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
full range of medical, financial, and/or other benefits, dependent on the level and position offered
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