Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
Collaborate with development teams on data modeling, data ingestion, and capacity planning
Work with users to ensure data integrity and availability
Act as a Big Data SME and consult on data-related questions from users and developers

🎯 Requirements

5+ years in a mature data engineering environment
3+ years building Kafka streaming apps and/or Kafka clusters
2+ years building apps/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg)
Experience with Spark, Flink or similar tools
Strong Java, Python, and SQL development skills
Python-based data-science toolkits experience
Kubernetes and Docker hands-on experience
Monitoring with Prometheus, Grafana, Alert Manager, Alerta, OpsGenie
Strong statistical analysis skills
Root-cause analysis and troubleshooting
Unix scripting (bash, Python)

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