Weber Shandwick is seeking a Senior Data Engineer to build innovative data solutions at the intersection of Data Engineering and Applied Generative AI to support clients' Enterprise Analytics.
Requirements
- 3+ years of experience as a Data Engineer using proven, industry-leading cloud platforms such as AWS, GCP, and Azure
- Proficiency coding in Python for data processing, automation, and AI/ML workflows.
- Advanced SQL skills for complex data manipulation, optimization, and analytics.
- Knowledge of orchestration tools (e.g., Airflow, Dagster, Prefect).
- Experience developing sophisticated data pipelines using AWS EMR, Apache Spark, etc.
- Relevant GCP or AWS certifications
- Experience with social media data and APIs
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Optimize SQL queries and database performance for analytical and operational workloads.
- Implement data quality, governance, and security best practices.
- Collaborate with data scientists to productionize AI/ML models, including Generative AI solutions.
- Integrate Gen AI solutions into business workflows, ensuring reliability and scalability.
- Leverage cloud platforms (preferably GCP) for data engineering and AI workloads.
- Automate data workflows and implement CI/CD for data pipelines and AI services.
Other
- Excellent written and spoken communication skills
- Ability to conduct independent work and manage projects from beginning to end
- Creative-minded individual, enjoys open-ended problems and challenging the status quo
- 3+ years of experience
- Bachelor's degree or equivalent experience (not explicitly mentioned but implied)
