Big Data Engineering Lead

4 days ago


Beaverton, Oregon, United States Hire Talent Full time

About the Role:

Hire Talent is seeking a seasoned Senior Data Engineer to lead our big data engineering efforts. As a key member of our Consumer Data Engineering team, you will be responsible for designing, building, and maintaining large-scale data infrastructure that supports our business needs.

Responsibilities:

  • Develop and maintain large-scale data pipelines using AWS EMR, Spark, and Python.
  • Optimize Spark applications and ETL pipelines for performance and scalability.
  • Collaborate with product managers and analysts to design and implement data models and data warehousing solutions.
  • Integrate data systems with other applications and services.
  • Ensure data quality, integrity, and security across all data systems.
  • Implement CI/CD pipelines for automated testing and deployment.

Qualifications:

  • Minimum 5 years of experience in data engineering, big data, or a related field.
  • Proficient in Spark, including Spark Core, Spark SQL, and Spark Streaming.
  • Experience with AWS EMR, including cluster management and job optimization.
  • Strong Python programming skills, including data structures, algorithms, and software design patterns.
  • Hands-on experience with Databricks, including Databricks Lakehouse (advantageous).
  • Good understanding of data modeling, data warehousing, and data governance.

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