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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing real-time streaming pipelines with a focus on low latency and high-volume data processing. Proficient in monitoring pipeline health and implementing recovery strategies for job failures.
Highest-signal resume keywords
Apache FlinkKafka StreamingEvent Time ProcessingData ModellingApache Iceberg
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
DataStream APIFlink SQLCheckpointingSavepointsState ManagementJavaScalaPythonSQLDocker
Tools & Technologies
AirflowKubernetesOn-Premises ClustersSelf-Managed Clusters
Industry Keywords
Real-Time Data ProcessingStreaming AnalyticsPipeline Health MonitoringJob Recovery
Tech Stack
Tools & technologiesAirflowApacheDockerJavaKafkaKubernetesPythonScalaSQL
About the role
Key responsibilities & impact- Build and run real-time streaming pipelines
- Keep latency low and jobs recoverable at high volume
- Monitor pipeline health
- Handle recovery when jobs fail
Requirements
What you’ll need- Strong hands-on experience with Apache Flink, including DataStream API and Flink SQL
- Experience with high-volume Kafka streaming and real-time data processing
- Strong knowledge of event time processing, checkpointing, savepoints, and state management
- Experience with data modelling for analytics and streaming into a lakehouse
- Experience monitoring pipeline health and handling job recovery and failures
- Apache Iceberg or other open table formats
- Airflow
- On-premises or self-managed cluster experience
- Proficiency with Kafka, Java, Scala, Python, SQL, Docker, and Kubernetes