The Path Forward Return to Work program at Disney Streaming is a 16-week paid returnship for experienced professionals returning to the workforce after taking time off for caregiving. The program is open to individuals who have at least 5 years of professional experience and have been out of the paid workforce for at least two years to focus on caring for a child or other dependent. If you meet these criteria, we welcome you to apply.
At Disney Streaming we are excited to be part of the Path Forward program because we appreciate the skills you can offer, the perspective you provide, and the contributions you will make. This program offers you a chance to revamp your skills, update your resume with new experience, and make connections with others transitioning back to the workforce. It also offers support through Path Forward, a nonprofit organization on a mission to empower people who’ve been focused on caregiving transition back to the paid workforce.
We are seeking a Senior Data Engineer who will partner with business, analytics and infrastructure teams to design and build data pipelines to facilitate forecasting and measuring advertising campaign effectiveness. Collaborating across disciplines, you will identify internal/external data sources to design table structure, define ETL strategy & automated Data Quality checks.
What You’ll Do :
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 strategy to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.
Develop Data Quality checks and visualizations/dashboards
Develop and maintain ETL routines using ETL, Spark and orchestration tools such as Airflow and Nifi.
Implement database deployments using tools like Liquibase
Perform ad hoc analysis as necessary.
Perform SQL and ETL tuning as necessary.
Develop and maintain Dashboards/reports using Looker
Who You Are:
You have a good understanding of SQL Engines and able to conduct advanced performance tuning
You have familiarity with data exploration / data visualization tools like Tableau, Looker, Chartio, etc.
You have the ability to think strategically, analyze and interpret market and consumer information.
You have strong communication skills – written and verbal presentations.
You have excellent conceptual and analytical reasoning competencies.
You have a degree in an analytical field such as economics, mathematics, or computer science
You are comfortable working in a fast-paced and highly collaborative environment.
You have familiarity with Agile Scrum principles and ceremonies
What You Bring:
3+ years of relevant Professional experience.
2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles etc.
2 + years of experience using analytic SQL, working with traditional relational databases and/or distributed systems such as Snowflake or Redshift.
1+ Years of experience programming languages (e.g. Python, Pyspark) preferred.
1+ years of experience with workflow management tools (Airflow, Nifi).
1+ years of experience working with Spark on EMR or Databricks.