Senior Manager - Data Engineering
- Cloud Run
- ETL
- Looker
- BigQuery
- Dataflow
- REST API
- Python
- SQL
- CI/CD
- IAM
Company:Tredence Inc.
PositionTitle:Senior Manager - Data Engineering
Location:1900 Camden Ave., Suite 66, San Jose, CA 95124
 
Position Responsibilities:Architect and implement large-scale data models, apply partitioning and clustering strategies for performance and costoptimization. Build and manage scalable ingestion pipelines, ensuregovernance and structured documentation. Orchestratemodular Cloud Run services with Cloud Tasks for improved ETL workflows and resilience. Design and deliver end-to-endreporting solutions using Looker, transform raw datasets into actionable dashboards. Implement advancedLookML models withrow-level security and semantic modeling. Drive automation and templated dashboards, reducing manual reporting time. Act asa bridge between engineering, product, QA, support, and marketing teams. Manage vendor and contractor relationships toensure quality delivery. Improve query performance and cost efficiency by 35% through execution plan tuning. Reduce large jobprocessing time by 50% via parallelization strategies. Enhance system resilience with retry logic, observability, and structuredtask queues.
Position Requirements:Bachelor’s degree (or foreign equivalent) in Computer Engineering, Electronics Engineering, or a related field, PLUS five (5) years of experience in the job offered or a related position.Experience must include demonstrable knowledge of: BigQuery; Cloud Dataflow & Functions; ETL Orchestration & Resilience;LookML & Semantic Modeling; Dashboard Automation;REST APIs; Python; SQL; CI/CD workflows; shell scripting,and; IAM policies. Travel to unanticipated client locations throughout the U.S., approximately 30%, asrequired. Maytelecommute from any location within the U.S.
To apply, please emailresume to Aamir.malik@tredence.com. Reference job code[D35053-01]. Salary $210,746
Senior Manager - Data Engineering · Tredence