Data Engineering Senior Consultant
USD 106K-160K (estimate) Senior-level Full Time
Tasks
- Automate data processes
- Communicate technical concepts to stakeholders
- Create snowflake schemas
- Create star schemas
- Design data architectures
- Design data pipelines
- Design schemas
- Develop data models
- Develop data pipelines
- Ensure consistent data delivery architecture
- Estimate work for proposals
- Facilitate requirements sessions
- Improve data processes
- Improve performance
- Improve reliability
- Improve scalability
- Lead client data initiatives
- Maintain data models
- Manage solution delivery
- Mentor data engineering team
- Optimize data pipelines
- Plan projects
- Present recommendations
- Provide status communication
- Support proposal development
- Translate business requirements into data solutions
Perks/Benefits
- 401k match
- Disability insurance
- Health and wellness benefits
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid vacation
- Training and professional development
- Tuition assistance
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Automation | Azure | Big Data | C++ | Cause analysis | Cloud services | Data Architecture | Data Modeling | Data Pipelines | Data Reliability | Data Transformation | Data Warehousing | Databricks | Dependency management | Java | Kafka | Message queuing | Metadata Management | Python | Query Optimization | Relational databases | Root Cause Analysis | Root cause | SQL | Scala | Snowflake | Snowflake Schema | Star Schema | Stream processing | Workload management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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