Sr Scala Engineer

Job Description

At Disney Streaming Services you'll have the opportunity to create highly scalable and reliable services that power Disney+. You'll get to understand the challenges of facilitating a high-quality, flawless media streaming experience across mobile, connected devices, and web, all while using the latest technologies available from AWS and beyond. You'll be tasked with raising the bar by innovating and adopting new patterns and technologies to keep your teams on the bleeding edge of development. At Disney Streaming Services we feel strongly that teams should own their own processes, decide their own technologies, and design solutions for the long term. If you're interested in working in a highly collaborative team environment like this, please get in touch - we'd love to hear from you!

At Disney Streaming Services data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for data acquisition, real-time and stream processing, analysis, and distribution of data for further use using public cloud and open source technologies and offers transparency into customer behavior and business performance.

Responsibilities:
• Work within a cross functional team of engineers building software in a collaborative & agile development environment
• Participate in the full lifecycle of software development (requirements gathering, designing, building, testing, maintenance, and support)
• Be part of the development for some of the highest scale distributed systems in the world, solving challenging and varied engineering problems
• Collaborate with product teams, engineering teams, data analysts and data scientists to design and build data-forward solutions
• Design, build, deploy, and operate streaming data platform and software solutions capable of processing and storing petabytes of data quickly, correctly, and reliably
• Integrate with a variety of teams and domains, ranging from advertising, web analytics, and consumer devices
• Drive and maintain a culture of quality, innovation and experimentation
• Work with other teams, evangelize the platform, best-practices, data driven decisions, identify new use cases and features and drive adoption
• Coach engineers best practices and technical concepts of building large scale streaming data platforms

Basic Qualifications:
• 3-5 years of commercial software engineering experience in Scala.
• Experience or interest in functional programming in Scala or previous experience with functional programming languages (Haskell, Clojure, Lisp, Scheme.)
• Knowledge and experience with distributed systems, their development, operations, observability
• Experience with RDBMS, key/value stores, distributed database solutions
• Automated testing at different levels (unit, integration, functional, performance, etc.)
• Cross-functional approach to software development, devOps experience
• You're a self-learner, independent, and have excellent problem-solving skills.
• You care deeply about craftsmanship in your software, and can work backwards from the customer experience.
• You have excellent written and verbal communication skills.

Preferred Qualifications:
• Experience with streaming data pipelines using tools such as Kinesis, Kafka, Spark, Storm, or Flink
• Experience deploying and running AWS-based solutions and familiarity with tools such as DynamoDB, Elasticache, Cloud Formation, Lambda, IAM, Kinesis, S3, Firehose, EMR etc.
• Experience with devOps, building automation and reliability in large scale systems, immutable infrastructure, containerization, including tools such as Jenkins, Docker, EC2, ECS, Cloudwatch, languages like Python, Go
• Familiarity with binary data serialization formats such as Protobuf, Parquet, Avro, or Thrift
• Experience building streaming data platforms, solving problems including event definition, evolution, processing, patterns and best practices, scalability, reliability, observability, validation etc.
• Knowledge of the data and streaming data ecosystems
• Familiarity with metadata management, data lineage, and principles of data governance

Required Education

Bachelor's degree in Computer Science or related field or equivalent work

Jobcode: Reference SBJ-rbqkjk-18-216-32-116-42 in your application.