168 applicants

Company

Original Job Post

The Walt Disney Company · 6 days ago

Data Engineer II

Seattle, WA

Full-time

Onsite

Mid Level

$102K/yr - $138K/yr

3+ years exp

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Responsibilities

Partner with technical and non-technical colleagues to understand data and reporting requirements.

Work with engineering teams to collect required data from internal and external systems.

Contribute to the design of table structures and defining ETL pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.

Develop Data Quality checks, write code, complete programming, write tests, perform testing and debug code.

Develop and maintain ETL routines using ETL and orchestration tools such as Airflow

Implement database deployments using tools like Schema Change

Perform ad hoc analysis as necessary.

Perform SQL and ETL tuning as necessary.

Qualification

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Data EngineeringData ModelingSQLPerformance TuningMarket AnalysisAgile ScrumProblem-SolvingCommunicationAnalytical ReasoningCollaborationBusiness KPI ReportingAnalytic SQLPythonPysparkData OrchestrationETL ToolsSnowflakeDatabricksEMRSparkAirflow

Required

3+ years of relevant data engineering experience.

Good understanding of data modeling principles including Dimensional modeling, data normalization principles.

Good understanding of SQL Engines and able to conduct advanced performance tuning.

Ability to think strategically, analyze and interpret market and consumer information.

Strong communication skills – written and verbal presentations.

Strong conceptual and analytical reasoning competencies.

Comfortable working in a fast-paced and highly collaborative environment.

Familiarity with Agile Scrum principles and ceremonies

Bachelor’s Degree in computer science, information systems, or related field or equivalent work experience.

Preferred

2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.

2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.

1+ years of experience programming languages (e.g. Python, Pyspark), preferred.

1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred.

Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.