Highly Skilled Data Systems Engineer
3 days ago
About This Role
We are seeking a highly skilled Data Engineer to join our organization. As a key member of the data engineering team, you will be responsible for designing and implementing scalable systems, developing real-time data pipelines, and leveraging modern data infrastructure to drive business growth.
Key Responsibilities:
- Design and implement petabyte-scale lakehouse architectures using Apache Iceberg and Delta Lake to unify data lakes and warehouses.
- Develop and optimize streaming pipelines using Kafka, Pulsar, and Flink to process structured/unstructured data with low latency.
- Leverage Java to build scalable, high-throughput data applications and services.
- Leverage modern data warehouses and query engines like Trino and Spark for sub-second operations and analytics on real-time data.
- Work with RDBMS (PostgreSQL, MySQL, SQL Server) and NoSQL (Cassandra, MongoDB) systems to manage diverse data workloads.
- Ensure data integrity, security, and compliance across multi-tenant systems.
- Manage production infrastructure for reliability, scalability, and cost efficiency.
- Stay ahead of trends in the data ecosystem to drive technical excellence.
Requirements
- 8+ years of experience with large-scale data systems (petabyte-level).
- Expert proficiency in Java for data-intensive applications.
- Hands-on experience with lakehouse architectures, stream processing (Flink), and event streaming (Kafka/Pulsar).
- Strong SQL skills and familiarity with RDBMS/NoSQL databases.
- Proven track record in optimizing query engines (e.g., Spark, Presto) and data pipelines.
- Knowledge of data governance, security frameworks, and multi-tenant systems.
- Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform).
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