
Advanced Data Platform Professional
3 days ago
We are seeking a skilled data engineer to design and implement scalable data pipelines for our modern, cloud-based data platform.
- Key Responsibilities:
- Design and implement scalable, fault-tolerant data pipelines for streaming and batch workloads
- Build and optimize a lakehouse architecture using tools like Apache Hudi and cloud-native storage systems
- Integrate Kafka for real-time event ingestion and processing
- Manage schema evolution, metadata consistency, and partitioning strategies for large datasets
- Collaborate with platform, AI, and analytics teams to define data models and access patterns
- Ensure data quality, lineage, and governance across systems
Requirements:
- 4+ years of experience in data engineering or data infrastructure roles
- Strong experience with Apache Kafka in production environments
- Hands-on experience with Apache Hudi, Delta Lake, or similar lakehouse frameworks
- Deep understanding of data lake architecture, partitioning, file formats (e.g., Parquet), and cloud object storage (e.g., AWS S3)
- Proficiency in Python, Scala, or Java for data processing
- Experience building pipelines using Apache Spark, Flink, or similar frameworks
Nice to Have:
- Experience with streaming ETL, CDC pipelines, or event-driven architectures
- Experience in a DevOps or cloud-native environment (e.g., Kubernetes, Terraform, CI/CD)
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