Sr. Data Engineering Lead, Onsite, VP
USD 120K-202K Senior-level Full Time
Tasks
- Build data models and database schemas
- Design data pipelines in Azure
- Document data processes and system configurations
- Enforce data governance standards
- Implement ELT/ETL processes
- Implement data quality controls
- Manage Azure data infrastructure
- Monitor pipelines and troubleshoot issues
- Optimize data storage and access
- Optimize queries and performance
- Secure sensitive data and ensure compliance
- Support database and server management
Perks/Benefits
- Dental insurance
- Employee assistance program
- Flexible work schedule
- Health insurance
- Life insurance
- Paid time off
- Retirement savings plan
- Vision insurance
Skills/Tech-stack
Agile | Azure | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Data Factory | Data Governance | Data Modeling | Data Quality | Data Security | Data Warehousing | Databricks Delta | Databricks Delta Lake | Delta Lake | Dimensional Modeling | Docker | ELT/ETL | Git | Java | Kubernetes | Non-relational | Non-relational Databases | Oracle | Relational databases | SQL | SQL Database | SQL Server | Scala | Snowflake | Synapse Analytics | Version control
Education
N/A
Roles
Data Engineering | Data Engineering Lead | Engineering Lead | Lead
Regions
Countries
States
Cities
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