Data Engineer 3, 32697163

Cypress HCM

Remote, OR

Expired: over a month ago Applications are no longer accepted.

$43 to $58 Hourly
Full-Time

Job Description

Company Info

Job Description

Data Engineer 3

We have an exciting opportunity for a Data Engineer 3 with the top leading multimedia and creative software company in the world. This position will follow requirements to pull required data to measure the current state of these assets, set up usage metrics for internal and external stakeholders.

Responsibilities:

Table Metadata to improve documentation coverage for tables, including table descriptions, column definitions, and data lineage.
Implement a centralized metadata management system to maintain and access asset documentation.
Ensure that all existing and new data assets are properly documented according to established standards.
Pipeline Clean-up and Consolidation
Consolidate and streamline pipelines by eliminating redundancies and unnecessary elements according to the set of provided rules.
Clean up and restructure data tables, ensuring consistent naming conventions, data types, and schema definitions.
Retire or archive obsolete dashboards and workflows.
Implement monitoring and alerting mechanisms for critical workflows to ensure timely issue detection and resolution.
Set up a foundation for scalable Data Model for the Stock Business - Implement and build performant data models to solve common analytics use-cases at Adobe Stock.
Knowledge Transfer and Documentation
Thoroughly document the work performed, including methodologies, decisions, and any scripts or tools developed.
Provide comprehensive knowledge transfer to the data team, ensuring a smooth transition and the ability to maintain the optimized data environment.

Skills and Experience:

4 to 7 years of experience.
Proven experience in data engineering and data asset management.
Proficiency in SQL, Python, and other relevant data processing languages and tools.
Expertise in data modeling, ETL processes, and workflow orchestration (e.g., Airflow, Databricks).
Strong analytical and problem-solving skills.
Excellent communication and documentation abilities.
Familiarity with cloud data platforms (e.g., Azure, AWS, GCP) is a plus.

Compensation: