Senior Data Decision Science Engineer-1551

Must Have:

• 3–5 years of experience in software or data engineering
  
• Strong SQL and Python development skills
  
• 2 years with AWS (EMR, EC2, S3) or other cloud technologies
  
• Experience with relational databases (Postgres or Snowflake)
  
• Proficiency in GitLab/GitHub, Docker, and Apache Airflow
  
• Experience with large datasets, big data tools, and ETL pipelines
  

Responsibilities:

• Act as a consultant leveraging data and business knowledge to deliver analytics-driven solutions.
  
• Define and maintain product roadmaps, ensuring analytical systems integrate seamlessly with business processes.
  
• Design, build, and optimize data integration, validation, and testing solutions.
  
• Develop production-ready custom code in SQL and Python for ETL and data workflows.
  
• Collaborate with engineering and data science teams to ensure cohesive product development.
  
• Automate processes and enhance existing analytical systems for efficiency and scalability.
  
• Communicate proactively with both technical and non-technical stakeholders.
  

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
  
• Proven experience in cloud-based data engineering and application development.
  
• Strong understanding of scalable data architecture and deployment practices.
  
• Excellent problem-solving, communication, and cross-functional collaboration skills.
  
• Ability to adapt to fast-changing business priorities.
  

Preferred:

• Experience with revenue management, AdTech, or forecasting analytics.
  
• Familiarity with machine learning methods and advanced analytical techniques.
  
• Knowledge of media ad sales (linear/digital), audience data, or data management platforms.
  
• Experience developing product roadmaps and automating analytical processes.