Data Engineer

Data Foundations Engineer

The Data Foundations Engineer designs and scales modern data architectures powering Wallet, Payments, and Commerce products. This role focuses on building high-performance data pipelines and enabling analytics and ML use cases, with strong fundamentals 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.