Staff Data Engineer
Tasks
- Build observability and pipeline health
- Define data quality SLAs and ownership
- Execute migration from legacy batch systems without downtime
- Lead data ingestion architecture
- Make technical debt decisions for ingestion domain
- Mentor engineers on distributed systems and data modeling
- Monitor and alert on data reliability
- Operate catalog pricing inventory ingestion systems in production
- Optimize data queries
- Own migration sequence and retirement criteria
- Set data engineering standards for schema design and data contracts
Perks/Benefits
Skills/Tech-stack
AI coding | AI coding tools | AWS EKS | Alerting | Amazon EC2 | Amazon Kafka | Amazon Kinesis | Amazon RDS | Amazon SQS | Apache Flink | Apache Spark | Cloud Data | Cloud data warehousing | Clustering | Coding Tools | Compute provisioning | Consumer Lag | Cost Management | Data Contracts | Data Lineage | Data Modeling | Data Quality | Data Validation | Data Warehousing | Databricks | Dead Letter | Dead-letter queues | Distributed Systems | Dynamic Allocation | Dynamic Compute | Dynamic Compute Provisioning | Google BigQuery | Job Isolation | Join optimization | Kubernetes | Message Queues | Monitoring | Observability | Partition Strategy | Partitioning | Pipeline Orchestration | Poison Pill | Poison Pill Handling | PySpark | Python | Query Optimization | Redpanda | Resource Contention | SLAs | Schema Design | Skew Diagnosis | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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