Lead Analytics Engineer
Chicago Illinois HQ (300 E. Randolph Street), United States
USD 112K-202K Senior-level Full Time
Tasks
- Build enterprise BI data marts
- Build scalable analytics pipelines with Databricks
- Collaborate with business stakeholders on data products
- Design and develop data integrations
- Develop BI semantic data layers
- Develop analytics engineering pipelines
- Develop universal semantic models
- Ensure data pipeline scheduling and orchestration
- Implement end to end data integration pipelines
- Lead analytics projects
- Optimize data solutions
- Provide technical guidance to team members
Perks/Benefits
- 401k savings plan
- Disability insurance
- Employee assistance program
- Healthcare and wellness benefits
- 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 | Business Intelligence | CI/CD | Continuous Deployment | Continuous integration | Data Engineering | Data Factory | Data Lake Storage | Data Mart | Data integration | Databricks | Databricks GenAI | DevOps | GitHub Copilot | HDFS | HQL | Hadoop | Hadoop Ecosystem | Hive | Power BI | PySpark | SQL | Scala | Semantic Modeling | Spark | Sqoop | Synapse Analytics | Teradata
Education
Roles
Analytics | Analytics Engineer | Data Engineer | Engineer | Lead | Lead Analytics | Lead Analytics Engineer
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