Lead Data Engineer Job at Akaasa Technologies, Pleasanton, CA

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  • Akaasa Technologies
  • Pleasanton, CA

Job Description

Title: Lead/Manager Data Engineer

Location: Pleasanton, CA or Dallas, TX - Local to TX or CA

Top Skills Required :

  • Detailed job description attached.
  • BigQuery(Advanced proficiency), GCS, Dataflow, and Cloud Composer , ETL , Data Warehousing concepts, Event Streaming, Python, Prior Media Monetization domain/RMN expertise needed.

Industry Experience :

  • Retail Media Network data

Description:

Manager, Data Engineering

We are looking for a strategic and hands-on Manager of Data Engineering to lead a team focused on building scalable data infrastructure for Retail Media Network (RMN) initiatives. This role requires deep technical expertise in GCP, strong leadership skills, and a passion for driving data-driven media monetization strategies.

Your Impact:

  • Lead and mentor a team of data engineers in designing and implementing scalable data solutions.
  • Architect and oversee the development of data pipelines using BigQuery, Dataflow, Cloud Composer, and GCS.
  • Drive the adoption of best practices in ETL, data warehousing, and event streaming.
  • Partner with product, analytics, and media teams to deliver high-impact data solutions for RMN monetization.
  • Ensure data governance, security, and compliance across all engineering efforts.
  • Stay current with emerging technologies and trends in cloud data engineering and media monetization.

Your Skills & Experience:

  • 7+ years of experience in data engineering, with at least 2 years in a leadership role.
  • Expert-level proficiency in BigQuery, GCS, Dataflow, and Cloud Composer.
  • Strong background in ETL architecture, data warehousing, and event streaming.
  • Advanced Python skills for data engineering and automation.
  • Proven experience working with Retail Media Network (RMN) data and media monetization strategies.
  • Excellent leadership, communication, and stakeholder management skills.

Job Tags

Local area,

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