Tasks:
- * Apply anomaly detection and forecasting to data workflows
- * Architect data pipelines across on-premises and cloud platforms
- * Communicate delivery risks and tradeoffs to stakeholders
- * Design data marts for BI reporting
- * Enforce data governance, security, and compliance
- * Establish data modeling, ETL/ELT, orchestration, testing, and CI/CD practices
- * Integrate revenue lifecycle business systems
- * Lead and develop data engineering team
- * Manage agile/sprint planning and delivery
- * Modernize data platform architecture
- * Optimize pipeline performance and cloud costs
- * Own revenue data mart strategy and roadmap
- * Resolve data pipeline incidents and root causes
- * Translate finance and analytics requirements into data solutions
Perks/Benefits:
- + Dental insurance
- + Employee assistance program
- + Medical insurance
- + Paid sick leave
- + Paid time off
- + Wellness programs
Skills/Tech stack required:
[Agile] [Amazon S3] [Anaplan] [Apache Airflow] [AWS] [CI/CD] [Control-M] [Data Governance] [Data Marts] [Data Modeling] [Data Observability] [Data orchestration] [Data Quality] [Data Warehousing] [Dimensional data] [Dimensional data modeling] [ETL/ELT] [Hadoop] [HDFS] [Hive] [Marketo] [Netsuite] [Oracle] [PostgreSQL] [Python] [Salesforce] [Scrum] [Sigma] [Snowflake] [Spark] [SQL] [Tableau]
Educational requirements:
N/A
Role(s):
[Data Engineering] [Data Engineering Manager] [Engineering Manager] [Manager] [Senior Data Engineering] [Senior Data Engineering Manager]