Data Engineer

Job Title: Data Engineer
Location: Dallas, TX (Hybrid)
Experience: 10 Year
Visa: Except GC

Job Description:
Data Engineer will be part of the datastore-migration Factory team that will be responsible to perform for the end-to-end datastore migration from on-prem Data Lake to AWS hosted Lakehouse.
Responsibilities:
Pipeline Migration Logic & Scheduling: Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment.
Data Transfer: Executing the physical migration of underlying datasets while ensuring data integrity.
Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "hand-off and sign-off" conversations with data owners to ensure migrated assets meet business requirements.
 
Consumption Pattern Migration
Code Conversion: Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg.
Usage analysis: Understand usage patterns to deliver the required data products.
Data Reconciliation & Quality
A rigorous approach to data validation is required.
Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows.
 
Engineer will also need to work with internal data management platforms team and must have an aptitude for learning new workflows and language constructs, as necessary.