Senior Data Engineer
Core
Build, operate, and optimize data infrastructure powering analytics and business intelligence across global markets, ensuring reliable data delivery from market-level databases into Snowflake.
Role type
Senior IC data engineer (distributed systems)
Builds
Data synchronization pipelines, data lakehouse architectures, and cloud infrastructure
Domain
Financial technology / Cloud data engineering
Required skills
Python, Apache Spark (Structured Streaming), Kafka, Snowflake, AWS (EMR, S3, MSK, DMS, EKS), Terraform, CI/CD, Apache Airflow, distributed systems
Preferred skills
Trino/Presto, Kubernetes, AWS Glue, Debezium, Kinesis, Flink, Delta Lake, Apache Hudi
Technologies
Snowflake, Kafka, Spark, Apache Iceberg, AWS, Terraform, Jenkins, Kubernetes, Airflow
Responsibilities
Own and optimize CDC and data synchronization pipelines; Design and evolve data infrastructure for new sources and markets; Establish SLOs, monitoring, and automated data quality checks; Develop unit/integration tests, CI/CD workflows, and infrastructure-as-code; Troubleshoot production incidents and lead root cause analyses; Collaborate with Data Science, Analytics, and Product teams on data requirements.
Seniority
Senior, hands-on IC
