Data Engineer JD&nbsp

Cupertino, CA - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

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 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.

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 strongfundam...