KEY RESPONSIBILITIES:

- Monitor and troubleshoot production data pipelines, ingestion jobs & dbt/Snowflake workflows

- Handle data incidents, operational issues, SLA & on-call support

- Troubleshoot model failures and upstream data issues

- Support Snowflake, AWS & Airflow infrastructure using Terraform/CloudFormation

- Manage RBAC, user onboarding & access provisioning

- Perform backfills, reprocessing and schema adjustments

- Support source ingestion through APIs, batch jobs, database replication & Kafka

- Set up and maintain monitoring/observability for data pipelines

- Support ML pipelines, Airflow workflows and production data science infrastructure

IDEAL PROFILE:

Looking for candidates with strong hands-on experience in:

- Data Operations

- Production Data Engineering

- Data Platform Support

- Data Pipeline Monitoring & Troubleshooting

- Not looking for purely development-focused Data Engineers or DevOps/SRE profiles.

Tech Stack:

Snowflake, dbt, Apache Airflow, Fivetran, Cloud Storage, SQL, Python, Bash, CI/CD, Git, Terraform, CloudFormation, Datadog