Lead Analytics Engineer
Chicago Illinois HQ (300 E. Randolph Street), United States
USD 112K-202K Senior-level Full Time
Tasks
- Build BI data marts
- Create end to end analytics engineering pipelines
- Design and develop data integrations
- Develop BI semantic data layer
- Develop data engineering pipelines with AI assisted features
- Lead multiple analytics projects
- Optimize and accelerate data solution development
- Partner with business stakeholders to build data products
- Provide technical guidance to team members
- Work with data architecture teams on semantic models
Perks/Benefits
- 401k
- Disability insurance
- Employee assistance program
- Employee referral program
- Paid Holidays
- Paid parental leave
- Paid time off
- Pension plan
- Supplemental life insurance
- Tuition reimbursement
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure SQL | Azure Synapse | Azure Synapse Analytics | BI Semantic Model | Business Intelligence | Business intelligence architecture | CI/CD | Continuous Deployment | Continuous integration | Control-M | Data Factory | Data Lake Storage | Data integration | Databricks | Databricks GenAI | GitHub Copilot | HDFS | Hadoop | Hive | Intelligence architecture | Power BI | Power BI Semantic Model | PySpark | Python | SQL | Scala | Semantic Model | Spark | Sqoop | Synapse Analytics | Teradata
Education
Roles
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