The Walt Disney Company

Senior Data Engineer – Audience Manager Platform

The Walt Disney Company

full-time

Posted on:

Location Type: Hybrid

Location: Glendale • California, Washington • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $138,900 - $203,900 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftBigQueryCloudDistributed SystemsETLHadoopHDFSPySparkPythonSparkSQL

About the role

  • Build and maintain audience platform initiatives to improve and expand audience targeting capabilities.
  • Partner with technical and non-technical colleagues to understand audience data and targeting requirements.
  • Work with engineering teams to collect required data from internal and external systems.
  • Support Agile methodologies such as Scrum by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning.
  • Design table structures and define ETL pipelines to build performant and scalable solutions
  • Develop Data Quality checks
  • Participate in on-call support
  • Develop and maintain ETL routines using ETL and orchestration tools such as Airflow
  • Perform ad hoc analysis and SQL and ETL tuning as necessary.
  • Participate in code reviews and problem-solving.

Requirements

  • 5+ years of big data engineering experience modeling and developing large data pipelines
  • Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark)
  • Strong Python and SQL skills processing big datasets
  • Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks)
  • Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
  • API and backend development experience
  • Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Bonuses and/or long-term incentive units dependent on position

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
big data engineeringdata pipelinesPythonSQLETLdata modelingdata warehousingAPI developmentbackend developmentdata quality checks
Soft skills
collaborationproblem-solvingcommunicationparticipation in Agile ceremoniesadaptability