Data Engineer
Job Location:
Job Location:
Menlo Park, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
7 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Key Responsibilities
- Build and maintain batch and real-time data pipelines supporting Data Science analytics and operational use cases.
- Develop scalable data models ETL/ELT pipelines and distributed processing jobs across structured and unstructured data.
- Implement ingestion transformation streaming storage and data quality solutions using Spark Kafka Python and modern data frameworks.
- Partner with product engineering analytics and data science teams to deliver reliable privacy-aware and cost-efficient data platforms.
Required Qualifications
- BS/MS in Computer Science Engineering Data Science or related field.
- 5 8 years in data engineering software engineering or platform engineering with strong experience building scalable data pipelines and distributed systems.
- Strong proficiency in Spark and Python with hands-on experience in production-grade data engineering and cloud-based data platforms.
- Hands-on with Spark Kafka HBase Presto Hive Flink Airflow/Beam SQL/NoSQL cloud platforms and AI/ML data enablement.
Preferred Qualifications
- Good-to-have experience in AdTech e.g. Google Ads digital advertising retail media audience platforms or marketing measurement.
- Exposure Data science models recommendation systems experimentation A/B testing or real-time decisioning.
- Knowledge of Data privacy data governance Kubernetes Docker and microservices.
- Ability to interpret performance metrics conduct A/B testing and use analytics tools like Google Analytics 4 (GA4) to track user behavior and Return on Ad Spend (ROAS)
