Data engineer with Iceberg

About My Client:-
My client is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients,client brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries
Role--Data Engineer
Location --Irving, TX
FTE

• Senior Data Engineer to design and build scalable high performance data platforms for Realtime and analytical workloads The role focuses on streaming Lakehouse and federated query architectures using Apache Flink Apache Iceberg and Starburst Trino in a cloud environment

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

• 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

Skills
Mandatory Skills : Java, Python, Scala