Onsite Position - 4 Days/Week in Office
Locations are New York City, NY / Seattle, WA / Santa Monica, CA / San Francisco, CA
Skills – SQL, Snowflake, RDBMS, Spark, Python, Databricks, and Airflow
Job Description:
- Contribute to the design and growth of our Data Products and Data Warehouses around Acquisition marketing spend and Acquisition campaign Performance data.
- Develop and optimize performant database, data model, integration and ETL in RDBMS and Big Data environments
- Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
- Help define technical requirements and implementation details for the underlying data warehouse and data marts
- Help integrate and maintain campaign marketing data coming from marketing vendor platforms via an integration tool.
- Maintain detailed documentation of your work and changes to support data quality and data governance
- Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers
- Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team
Basic Qualifications
- Over 9- 12 years of experience in Data Engineering, with a strong foundation in designing and implementing scalable data solutions.
- Proficient in data modeling, architecture, and building robust ETL pipelines to support analytical and operational use cases.
- Hands-on expertise with SQL, Snowflake, RDBMS, Spark, Python, Databricks, and Airflow for data processing and orchestration.
- Experienced in AWS services including S3 and supporting reporting and downstream data workflows.
- Familiarity with Marketing Intelligence tools like Datorama/Improvado/FiveTran for integrating, harmonizing, and visualizing marketing data across platforms.
- Experience with Scrum and Agile methodologies
- Bachelor’s or master’s degree in computer science, Information Systems or related field