Senior Data Engineer
Tasks
- Build batch and streaming data processing systems
- Build event replay and reprocessing workflows
- Create end to end ETL ELT pipelines
- Design stateful streaming patterns
- Develop Kafka based streaming architectures
- Develop and maintain Spark applications
- Ensure data quality reconciliation and metadata capture
- Handle late arriving data and checkpointing
- Implement Spark Structured Streaming pipelines
- Implement ingestion and routing flows with Apache NiFi
- Integrate Spark with Apache Ozone and Ceph
- Maintain reusable engineering frameworks and coding standards
- Monitor production systems and perform incident analysis
- Optimize Spark job performance and memory
- Participate in architecture and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
Apache NiFi | Apache Ozone | Apache Spark | CI/CD | Ceph | Checkpointing | Data Quality | Data handling | Distributed Systems | ELT | ETL | Git | Kafka | Kafka Offsets | Late Data Handling | Late data | Linux | Memory tuning | Metadata Management | Monitoring | Object storage | Partitioning | PySpark | Reconciliation | SQL | Scala | Shell Scripting | Shuffle Optimization | Spark Structured Streaming | Structured Streaming | Watermarking | Windowing
Education
N/A
Roles
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