Senior Analytics Engineer, People Data
USD 166K-220K Senior-level Full Time
Tasks
- Build ETL/ELT pipelines
- Collaborate with stakeholders on data needs
- Design ETL pipelines
- Develop data models and schemas
- Enforce data security and compliance
- Implement data quality checks
- Integrate HR data sources
- Maintain documentation
- Monitor pipeline performance
- Optimize data models
- Translate analytical requirements into datasets
- Troubleshoot data issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Redshift | AWS S3 | Apache Airflow | Apache Iceberg | Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | CCPA | CI/CD | CloudFormation | DBT | Dagster | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Security | Databricks | Delta Lake | Dimensional Modeling | Docker | ELT | ETL | Flyte | GDPR | Google BigQuery | Kimball methodology | Kubernetes | Looker | Power BI | Python | SQL | Schema evolution | Snowflake | Tableau | Terraform | Testing | Time Travel | Version control
Regions
Countries
States
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