200+ applicants

Company

Original Job Post

The Walt Disney Company · 4 days ago

Senior Data Engineer

New York, NY

Full-time

Onsite

Senior Level

$136K/yr - $182K/yr

5+ years exp

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Responsibilities

Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines in Scala and Python / Spark while maintaining strict uptime SLAs

Extend functionality of current Core Data platform offerings, including metadata parsing, extending the Metastore API, and building new integrations with APIs both internal and external to the Data organization

Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow

Implement the Lakehouse architecture, working with customers, partners, and stakeholders to shift towards a Lakehouse centric data platform

Implementation shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines across the Data organization

Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform

Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, partitioning strategies, and more

Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)

Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team

Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements

Maintain detailed documentation of your work and changes to support data quality and data governance requirements

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringScalaPythonAWSSQLSparkAirflowScriptingProblem-SolvingHard WorkingAnalyticalCommunicationMPP Database TechnologySnowflakeRedshiftBig QueryGraphQLInfrastructure as CodeData ModelingData WarehousingScrumAgileTeamwork

Required

At least 5 years of data engineering experience developing large data pipelines

Strong algorithmic problem-solving expertise

Strong fundamental Scala and Python programming skills

Basic understanding of AWS or other cloud provider resources (S3)

Strong SQL skills and ability to create queries to analyze complex datasets

Hands-on production environment experience with distributed processing systems such as Spark

Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines

Some scripting language experience

Willingness and ability to learn and pick up new skillsets

Self-starting problem solver with an eye for detail and excellent analytical and communication skills

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience