Data Engineer
Core
Design, build, and operate scalable data platforms enabling campaign measurement, customer insights, reporting, and AI/ML initiatives for global payments and financial services leaders.
Role type
Senior Data Engineer (Cloud & Distributed Systems)
Builds
Scalable ETL pipelines, data models, and analytics-ready data for enterprise-scale marketing products.
Domain
Fintech / Financial Services / Data & AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT design, distributed data processing, cloud data platforms, data modeling, data governance, CI/CD, observability
Preferred skills
Kafka, Hadoop ecosystem, infrastructure-as-code, complex distributed system troubleshooting
Technologies
SQL, Python, PySpark, MS Fabric, Azure Data Factory, Databricks, Snowflake, Spark, Kafka, AWS, Azure, GCP
Responsibilities
Design and maintain scalable ETL pipelines; develop and optimize data processes using SQL, Python, and PySpark; design robust data models for analytics and BI; ensure data quality and governance through automated checks and lineage; troubleshoot and support production pipelines; collaborate with cross-functional teams on data requirements.
Seniority
Mid-Senior, hands-on IC
