The Walt Disney Company (Germany) GmbH
Senior Data Engineer - Commerce Data Solutions
The Walt Disney Company (Germany) GmbH, Seattle, Washington, us, 98127
Overview
Senior Data Engineer - Commerce Data Solutions. Disney Technology powers Disney’s media business globally. The team combines technology with creativity to build world-class products and support revenue generation initiatives across Disney’s brands and stories. Commerce Data Solutions builds and maintains data products enabling business teams to analyze subscriber movements and support revenue initiatives. The Senior Data Engineer partners with business, analytics and infrastructure teams to design and build data pipelines, identify data sources, design table structures, and define ETL strategy and automated data quality checks. 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. Design table structures and define ETL pipelines to build performant data solutions that are reliable and scalable in a fast growing data ecosystem. Develop data quality checks. 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. Basic Qualifications
5+ years of relevant data engineering experience. Strong understanding of data modeling principles including dimensional modeling and data normalization principles. Good understanding of SQL engines and ability to conduct advanced performance tuning. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills – written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and ceremonies. Preferred Qualifications
2+ years of experience implementing and reporting on KPIs in data warehousing environments. 2+ years of experience with analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift). 1+ years of experience programming languages (e.g. Python, PySpark). 1+ years of experience with data orchestration/ETL tools (Airflow, NiFi). Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow. Required Education
Bachelor’s Degree in computer science, information systems, or related field or equivalent work experience. Additional Information
#DISNEYTECH #CDI Compensation: The hiring range for this position varies by location (e.g., Santa Monica, CA; San Francisco, CA; Seattle, WA; New York, NY) and takes into account internal equity and candidate experience. A bonus and/or long-term incentive units may be provided, in addition to full benefits.
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Senior Data Engineer - Commerce Data Solutions. Disney Technology powers Disney’s media business globally. The team combines technology with creativity to build world-class products and support revenue generation initiatives across Disney’s brands and stories. Commerce Data Solutions builds and maintains data products enabling business teams to analyze subscriber movements and support revenue initiatives. The Senior Data Engineer partners with business, analytics and infrastructure teams to design and build data pipelines, identify data sources, design table structures, and define ETL strategy and automated data quality checks. 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. Design table structures and define ETL pipelines to build performant data solutions that are reliable and scalable in a fast growing data ecosystem. Develop data quality checks. 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. Basic Qualifications
5+ years of relevant data engineering experience. Strong understanding of data modeling principles including dimensional modeling and data normalization principles. Good understanding of SQL engines and ability to conduct advanced performance tuning. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills – written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and ceremonies. Preferred Qualifications
2+ years of experience implementing and reporting on KPIs in data warehousing environments. 2+ years of experience with analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift). 1+ years of experience programming languages (e.g. Python, PySpark). 1+ years of experience with data orchestration/ETL tools (Airflow, NiFi). Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow. Required Education
Bachelor’s Degree in computer science, information systems, or related field or equivalent work experience. Additional Information
#DISNEYTECH #CDI Compensation: The hiring range for this position varies by location (e.g., Santa Monica, CA; San Francisco, CA; Seattle, WA; New York, NY) and takes into account internal equity and candidate experience. A bonus and/or long-term incentive units may be provided, in addition to full benefits.
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