Full-Time
The Walt Disney Company
10,001+ employees
Leading producers & providers of entertainment and information
Compensation Overview
$152.2k - $223.6k/yr
+ Bonus + Long-term Incentive Units
Senior, Expert
Seattle, WA, USA + 4 more
More locations: Santa Monica, CA, USA | San Francisco, CA, USA | Bristol, CT, USA | New York, NY, USA
The hiring range for this position varies by location: Santa Monica, CA ($152,200 to $204,100), Bristol, CT ($152,200 to $204,100), Seattle, WA ($159,500 to $213,900), New York City, NY ($159,500 to $213,900), and San Francisco, CA ($166,800 to $223,600).
Category
Backend Engineering
Software Engineering
Required Skills
Agile
Python
Airflow
Data Science
Apache Spark
SQL
AWS
Scala
SCRUM
Databricks
Data Analysis
Requirements
- At least 7 years of data engineering experience developing large data pipelines.
- Strong hands-on Experience with Cloud technologies like AWS (S3, EMR, EC2) and building data pipelines.
- Strong algorithmic problem-solving expertise
- Strong SQL skills and ability to create queries to extract data, build performant datasets and perform Data Analysis.
- Strong Hands-on experience with distributed systems such as Spark, Pyspark to query and process data.
- Strong fundamental Python programming skills.
- Solid experience with data integration toolsets (i.e Airflow) and writing and maintaining Data Pipelines with Databricks.
- Demonstrated competency in data modeling and analysis techniques.
- Strong attention to detail and excellent analytical skills
- Verbal and written communication skills and ability to collaborate with others effectively.
Responsibilities
- Contribute to the architecture, design and growth of our Data Products and Data pipelines in Scala and Python / Spark while maintaining uptime SLAs.
- Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data cloud environments.
- Implement the Lakehouse architecture, working with key partners to shift towards a Lakehouse-centric data platform.
- Lead a module and be well versed with the Business functionality to support Data questions and analysis for the Business stakeholders.
- Able to understand Business Use Cases/ problems and provide relevant Business & technical solutions.
- 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.
- Be a problem solver; when presented with new challenges, you are expected to research and network to find solutions.
- Seek out answers to business problems and look for opportunities to automate processes & optimize Cost.
- Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements.
Desired Qualifications
- Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)
- Experience in Data Modeling techniques and Data Warehousing standard methodologies and practices
- Experience with Software Application development.
- Good data acumen to understand domain /functional knowledge and to be able to articulate analysis of data points in business context for stakeholders.
- Demonstrated excellent interpersonal skills, communication skills including ability to partner with others and build consensus in a cross-functional team toward a desired outcome.
- Experience working with a test first mentality.
- Deep Understanding of AWS or other cloud providers as well as infrastructure as code
- Familiar with Scrum and Agile methodologies.
Company Size
10,001+
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
1923