Description

Key Responsibilities

Build and operate real time streaming pipelines using Apache Flink
Design and manage Lakehouse architectures with Apache Iceberg
Enable federated analytics using Starburst Trino
Develop and optimize ETL pipelines using Python Scala Java
Integrate data platforms with AWS Azure GCP services
Tune performance across pipelines tables and queries
Ensure data quality governance monitoring and reliability
Contribute to platform architecture and mentor junior engineers
Required Qualifications

7 years in data engineering and largescale data platforms
Strong hands-on experience with Flink Iceberg and Trino
Proficiency in Python Scala or Java and strong SQL skills
Experience with cloud data services and distributed systems
Knowledge of Kafka Docker Kubernetes and data warehousing concepts
Preferred

Financial services experience
Cloud certifications
Exposure to Delta Lake Hudi and Airflow

Key Skills

Education

Bachelor's degree