Senior Data Engineer - 1587

Must Have:

• SQL
  
• Python
  
• Snowflake or BigQuery or Redshift
  
• dbt
  
• Airflow
  
• Cloud data platforms
  
• Data modeling
  
• CI/CD and version control
  

Responsibilities:

• Design and build scalable data pipelines for streaming video analytics.
  
• Develop analytics -ready datasets to support data science, BI, and strategy teams.
  
• Translate business requirements into robust data architecture and engineering solutions.
  
• Assess source data quality and implement controls to ensure accuracy and reliability.
  
• Build and maintain transformation workflows using dbt and orchestration using Airflow.
  
• Partner with Product, Data Science, and Visualization teams to harmonize data from multiple systems.
  
• Implement data governance standards across accuracy, integrity, and security.
  
• Support roadmap initiatives for AVOD, FAST, and streaming data products.
  

Qualifications:

• 7+ years of experience in data engineering or analytics engineering in production environments.
  
• Strong experience building and optimizing cloud -based data platforms.
  
• Advanced SQL and Python expertise.
  
• Experience designing scalable data models for large datasets.
  
• Experience working in agile environments supporting cross -functional stakeholders.
  
• Background supporting streaming, digital media, or advertising analytics environments preferred.
  

Nice to Have:

• AVOD, FAST, or SVOD domain experience.
  
• Experience with video analytics or ad tech data.
  
• Experience supporting self -service BI tools.
  
• Experience with automated data testing frameworks.