Senior Data Engineering Consultant
Tasks
- Apply star schema design and SCD handling
- Build and maintain ETL/ELT pipelines
- Design relational and dimensional data models
- Document data structures lineage and business logic
- Document pipeline logic dependencies and procedures
- Follow change control governance and compliance standards
- Implement logging error handling auditing
- Modernize SSIS pipelines
- Optimize SQL Server Snowflake SSIS ADF dbt Airflow and reporting performance
- Respond to incidents and service requests
- Troubleshoot SSAS processing performance security roles
- Tune T SQL queries stored procedures indexing strategies and data models
Perks/Benefits
- Career development opportunities
- Comprehensive benefits
- Inclusion culture
- Peer support
- Self-directed work
Skills/Tech-stack
Apache Airflow | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | DBT | Data Factory | Data Modeling | Data Warehousing | Dimensional Modeling | ELT | ETL | HIPAA | ITIL | Indexing | Power BI | Query Tuning | SQL | SQL Query Tuning | SQL Server | SQL query | SSAS Multidimensional | SSAS Tabular | SSIS | SSRS | ServiceNow | Slowly Changing Dimensions | Snowflake | Star Schema | Stored Procedures | Synapse Analytics | T-SQL | Tableau
Education
N/A
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