Role: Data Engineer
Location: Cupertino, CA/ Austin, CA
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 Google Cloud Platform.
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.
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