Lead Data Engineer

Key Skills

Amazon Elastic Compute Cloud-EC2, Amazon RedShift, Amazon Simple Storage Service (S3), Apache Airflow, Apache Hive, AWS, Azure, Data Analytics, Data Engineering, Data Modeling, Data pipelines, Data science techniques, Data Warehousing, Databricks, ETL frameworks, Google BigQuery, Google Cloud Platform (GCP), Java Programming, KPIs, Leadership Skill, Metadata, Presto, PySpark, Python Programming, Scala Programming, Scrum Agile Methodology, Snowflake, SPARK Programming, SQL

Job Description

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology

• Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

Job Summary

• This role is required for building and maintaining content metadata pipelines for ingesting, transforming, and mastering content metadata with the goal of providing clean and accurate content metadata for various use-cases, including executive reporting, analytics, data science and personalization to support business objectives throughout the organization.
• The role requires expert knowledge of building scalable, fault-tolerant data processing pipelines to ensure the reliable delivery of data to our stakeholders.
• This role is important in ensuring the quality and expediency of our reporting in regards to content KPIs.

Responsibilities

• Lead the successful design and development of our Data Products and Data Warehouses around Content Performance and Content Engagement data.
• Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
• Support data pipelines within AWS, Snowflake, Databricks, Spark and Airflow
• Help architect data solutions/frameworks and define data models for the underlying data warehouse and data marts
• Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
• Maintain detailed documentation of your work and changes to support data quality and data governance
• Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)
• Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team
• Serve as an advanced resource to other Data Engineers on the team, and mentor and coach more junior members of the team helping to improve their skills, knowledge, and productivity.

Basic Qualifications

• 7+ years of data engineering experience developing large data pipelines
• Strong SQL skills and ability to create queries to extract data and build performant datasets
• Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data
• 7+ years of programming experience using Java/Scala, Python, or similar languages
• Experience with at least one major cloud services provider (AWS, Azure, GCP)
• Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query)

Preferred Qualifications

• Nice to have in-depth experience with Cloud technologies like AWS (S3, ECS, EMR, EC2, Lambda, etc.)
• Solid experience with data integration toolsets (i.e Airflow) and writing and maintaining Data Pipelines
• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
• Good Scripting skills, including Python and Bash
• Familiar with Scrum and Agile methodologies
• You are a problem solver with strong attention to detail and excellent analytical and communication skills

Required Education

• Bachelor’s Degree in Computer Science, Information Systems or related field or equivalent work experience.

The hiring range for this position in Santa Monica, CA is $149,240.00 to $200,200.00 per year and in New York City, NY and Seattle, WA is $156,300.00 to $209,600.00. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

About Disney Direct to Consumer:

Disney’s Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.