•Build and maintain Kafka and Flink streaming jobs for ingestion and transformation.
•Develop and maintain Spark jobs for data processing tasks.
•Collaborate with SRE to help manage infrastructure changes.
•Deploy and operate data services and jobs on AKS using Helm and Kubernetes operators.
•Set up monitoring, alerting, and dashboards for pipelines and services (Grafana).
•Support database and lakehouse operations, including Iceberg table maintenance and PostgreSQL backups and tuning.
•Build and maintain CI/CD pipelines and infrastructure as code (Terraform or Bicep).
•Automate environment promotion and deployments across dev, QA, SIT, UAT, and production.
•Support incident response and root cause analysis.
•Write unit and integration tests and fix production defects.
How You Will Do It
•Own the outcome with accountability by delivering reliable pipelines and repeatable operations and following through on commitments.
•Stay close to work by understanding how the data you build is used downstream and how engineers deploy.
•Look for root causes, automate toil, improve continuously, and raise issues with candor.
•Work as one team by partnering with engineers, QA, SRE, and product, sharing context, and asking for help early.
•Use clear documentation, runbooks, and disciplined engineering practices to support consistency and handoffs.
