Über
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.
Sprachkenntnisse
- English
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