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.