Description

You will build and operate real-time streaming pipelines and lakehouse architectures for large-scale data platforms.

This role is on-site.

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 and optimize ETL pipelines.
• Integrate data platforms with AWS, Azure, and GCP services while ensuring data quality and governance.
• Tune performance across pipelines, tables, and queries, and mentor junior engineers.

Required Skills

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

Preferred Skills

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

Key Skills

Education

Any Gradute