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Staff Data Engineer, Ads - Remote

Posted 5 hours ago
Data Analysis
Full Time
USA

Overview

This position is for a Staff Data Engineer specializing in Ads, focusing on designing and maintaining large-scale data engineering solutions for advertising products.

In Short

  • Shape the technical vision for data engineering solutions.
  • Architect and maintain complex data pipelines and datasets.
  • Collaborate with data scientists, ML engineers, and product teams.
  • Drive cross-functional technical initiatives.
  • Implement data quality monitoring and automated anomaly detection.
  • Lead technical strategy and architectural direction.
  • Provide mentorship through pair programming and code reviews.
  • Create dashboards and reports for data-driven decision-making.
  • Focus on scalability, reliability, and performance of data systems.
  • Passionate about data-driven innovation.

Requirements

  • Experience in data engineering and building data pipelines.
  • Proficiency in SQL and Python.
  • Knowledge of ETL processes and data modeling.
  • Experience with data quality monitoring tools.
  • Ability to collaborate with cross-functional teams.
  • Strong problem-solving skills in fast-paced environments.
  • Experience in technical leadership and mentorship.
  • Familiarity with machine learning concepts.
  • Ability to create actionable dashboards and reports.
  • Strong communication skills.

Benefits

  • Opportunity to work on cutting-edge advertising products.
  • Collaborative and innovative work environment.
  • Professional growth and mentorship opportunities.
  • Impactful work that drives business decisions.
  • Flexible working conditions.

Jobgether

Jobgether

Jobgether is a global platform dedicated to connecting job seekers with fully remote job opportunities. The company focuses on matching candidates to roles where they are most likely to succeed, providing valuable feedback on applications to enhance the job search experience. Jobgether aims to eliminate common frustrations in the job market, such as application black holes and recruiter ghosting, by offering a supportive and transparent approach to remote employment.

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