Data Engineer

Title: Data Engineer Location: Cupertino, CA/ Austin, CA Duration: 6 Months The Data Foundations Engineer designs and scales modern data architectures powering Wallet, Payments, and Commerceproducts. This role focuses on building high-performance data pipelines and enabling analytics and ML use cases, with strongfundamentals in data modeling and scalable systems. KEY RESPONSIBILITIES: • Data Engineering & Architecture Design and implement scalable batch and near-real-time data pipelines. Develop ETL/ELT workflows optimized for performance and cost. Implement dimensional data models and standardize business metrics. • Instrument APIs and user journeys to capture behavioral and transactional data. • Data Governance & Quality - • Ensure data integrity, governance, privacy, and compliance. • Maintain reliability and availability of mission-critical systems. REQUIRED QUALIFICATIONS • 6 years of experience in data engineering for analytics or ML systems. • Strong SQL proficiency. • Experience in Python, Scala, or Java. • Hands-on experience with Spark, Kafka, and Airflow (or similar). • Strong understanding of data modeling and lakehouse architectures (e.g., Iceberg). Experience with AWS, Azure, or GCP. • Comfortable participating in rotating on-call. • Experience with Snowflake, Databricks, Trino, OLAP/NRT systems, Superset or Tableau. Familiarity with CI/CD, data observability, infrastructure-as-code. • Exposure to MLOps and GenAI/RAG pipelines. • Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG). • Experience in FinTech, Wallet, or Payments domain.