Data Engineer
About Us
At Campaignswell, we're revolutionizing marketing analytics with our AI-powered predictive platform tailored for apps, games, and e-commerce businesses. Our cutting-edge technology delivers precise lifetime value (LTV) predictions within hours, empowering clients to scale their advertising efforts confidently. By seamlessly integrating product and marketing analytics into a unified dashboard, we provide actionable insights that drive growth and profitability. Founded in 2023 and headquartered in San Francisco, our dynamic team is committed to transforming the marketing landscape through innovation and data-driven strategies.
Responsibilities
- Design, build, and manage scalable data pipelines and architectures that facilitate the collection, transformation, and storage of data.
- Design and implement ELT processes.
- Implement data validation and quality checks to ensure accuracy and consistency, maintaining high data quality and integrity.
- Work closely with data scientists and customer success analytics teams, providing the necessary infrastructure and tools to support data-driven decision-making.
Requirements
- 5+ years of data engineering experience.
- Excellent knowledge of SQL and Python.
- Experience building services using object-oriented programming languages.
- Hands-on experience with dbt (data build tool).
- Experience working with OLAP data warehouses (e.g., Snowflake).
- Strong understanding of data structures and storage formats.
- Experience with distributed messaging systems (e.g., Apache Kafka or similar).
- Knowledge of Apache Airflow or equivalent workflow orchestration tools.
- Experience with AWS cloud platforms and services.
- Excellent written and verbal communication skills.
Nice to Have
- Practical experience and familiarity with ClickHouse.
If you're passionate about driving innovation in marketing analytics and eager to contribute to a dynamic team that's reshaping the industry, we'd love to hear from you!
