Key skills
AWSAzureCloudETLSQLELTAnalyticsBIPower BISnowflakeDatabricksCI/CD
About this role
Role Overview
- Own the data and analytics support queue: pipeline failures, ETL/ELT errors, Power BI dashboard issues
- Monitor and remediate data pipelines across Azure and AWS environments
- Write and execute SQL scripts for data fixes, record corrections, and diagnostic queries
- Support Snowflake and Databricks: query optimization, job failure diagnosis, cluster management
- Maintain CI/CD pipelines supporting data operations (Tier 1 monitoring, Tier 2 remediation)
- Handle SQL-heavy overflow tickets from application support queues (HUB-Report, data corrections)
- Coordinate with client data team on schema changes, pipeline updates, and capacity planning
- Perform minor data platform enhancements as assigned (up to 80 engineering hours)
- Support vehicle telematics data infrastructure and related ingestion pipelines
Requirements
- Minimum 5 years of relevant experience is required
- SQL expertise
- Experience with cloud data platforms, ETL/ELT pipelines, and BI tools
- Hands-on experience with Azure and AWS
- Production pipeline support experience is strongly preferred
- English
- required
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- SQL