Lead Software Engineer - Apache Spark, AWS
INR 2000K-4500K (estimate) Senior-level Full Time
Tasks
- Build event driven and CDC based architectures
- Build solutions on AWS with security governance and cost awareness
- Define data contracts integration patterns and runbooks for production support
- Design distributed data systems for scalability and performance
- Design platform services for open source acquisition usage and compliance
- Develop and operate pipelines with Spark Kafka and Airflow
- Implement scalable batch and streaming data pipelines
- Optimize ingestion processing storage and query performance
- Perform design reviews code reviews and pipeline testing
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile methodology | Amazon Kafka | Apache Airflow | Apache Spark | Batch Processing | CDC | CI/CD | Cassandra | Change Data Capture | Compliance | Continuous Delivery | Data Capture | Data Contracts | Data Governance | Data Pipelines | Data Quality | Development Life Cycle | Distributed Systems | DynamoDB | Event Driven | Event-driven architecture | HDFS | Incident Response | Kafka | Medallion Architecture | MongoDB | Monitoring | NoSQL | Observability | Partitioning | Performance optimization | SLAs | Scala | Scalability | Secure Coding | Sharding | Software Development Life Cycle | Software development | Streaming Data | Supply Chain | Supply chain security
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
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