Chief Data Engineering Architect

6 days ago


Columbus, Ohio, United States Seamless Full time
Job Overview

At Seamless.AI, we're seeking a highly skilled Principal Data Engineer to lead our data engineering efforts.

Key Responsibilities
  • Design and develop scalable ETL pipelines using Python and AWS Glue.
  • Collaborate with cross-functional teams to understand data requirements and develop efficient data acquisition and integration strategies.
  • Implement data transformation logic using Python and other relevant programming languages and frameworks.
  • Optimize and tune ETL processes for improved performance and scalability.
  • Apply data matching, deduplication, and aggregation methodologies to ensure data accuracy and quality.
Requirements
  • 7+ years of experience as a Data Engineer, with a focus on ETL processes and data integration.
  • Professional experience with Spark and AWS pipeline development required.
Why Seamless.AI

We're a recognized leader in AI-powered sales lead generation, delivering exceptional results for our customers.



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