Job Title: Senior Data Engineer
Title: Senior Data Engineer
Contract Length: 10 months + extensions
Bristol, CT 06010
New York, NY 10013
Must work onsite hybrid week 1, schedule to be determined
Education: Bachelor's Degree + 5 years of relevant experience
We need an expert in SQL, extensive experience with Scala, a proven self-starter (expected to discover the outcome, and then chase after it), not only able to speak technical but clearly articulate that info to the business as well.
Job Description:
Disney Streaming is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home.
Operating at the intersection of entertainment and technology, Disney Streaming has a unique opportunity to be the number one choice for TV.
We captivate and connect viewers with the stories they love, and we are looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun.
Join us and see what this is all about.
Position Overview
The Product Performance Data Solutions team for the Data organization within Disney Streaming (DS), a segment under the Disney Media & Entertainment Distribution is in search of a Senior Data Engineer.
As a member of the Product Performance team, you will work on building foundational datasets from clickstream and quality of service telemetry data enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
The Product Performance Data Solutions team is seeking to grow their team of world-class Data Engineers that share their charisma and enthusiasm for making a positive impact.
Responsibilities
Contribute to maintaining, updating, and expanding existing data pipelines in Python / Spark while maintaining strict uptime SLAs
Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines
Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python
Collaborate with product managers, architects, and other engineers to drive the success of the Product Performance Data and key business stakeholders
Contribute to developing and documenting both internal and external standards for pipeline configurations, naming conventions, partitioning strategies, and more
Ensure high operational efficiency and quality of datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our partners (Engineering, Data Science, Operations, and Analytics teams)
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements
Maintain detailed documentation of your work and changes to support data quality and data governance requirements
Basic Qualifications
At least 5 years of data engineering experience developing large data pipelines
Strong algorithmic problem-solving expertise
Strong fundamental Python programming skills
Basic understanding of AWS or other cloud provider resources (S3)
Strong SQL skills and ability to create queries to analyze co
Preferred Qualifications
Candidates with Click stream, user browse data are highly preferred
Required Education
Bachelor s Degree + 5 years of relevant experience
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