Senior / Data Platform Engineer, Growth Data Platform
Core
Design, build, and maintain scalable batch and stream data pipelines for the Growth Team's acquisition, activation, retention, and monetization scenarios.
Role type
Senior Data Platform Engineer
Builds
Scalable, reliable data infrastructure and processing pipelines for internal analytics and operational use cases
Domain
Global payments and financial technology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Distributed systems design, batch and stream processing, PB-scale data handling, data architecture, automation, data quality management
Preferred skills
Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, Snowflake
Technologies
Kafka, Flink, Spark, Databricks, Hadoop, BigQuery, Snowflake, Spring Boot
Responsibilities
Design and maintain scalable batch and stream data pipelines; Build data ingestion frameworks connecting internal systems with the centralized data platform; Collaborate to define internal data engineering tools and standards; Contribute to automation and reliability improvements to reduce data latency; Assist with integration of external data sources and handle data quality concerns; Work cross-functionally to translate business requirements into engineering solutions
Seniority
Senior, hands-on IC
