Senior Data Engineer, Growth, Insights & Analytics
Tasks
- Automate data engineering capabilities and frameworks
- Build and optimize modern data platform
- Create curated datasets for self service analytics
- Design cloud data pipelines and architectures
- Develop and optimize ETL and data models
- Enable real time and streaming data pipelines
- Implement data governance quality security and privacy compliance
- Ingest and transform retail media and campaign data
- Set up monitoring metadata management and data lineage
- Support marketing analytics use cases such as MMM and retail media measurement
- Unify data sources into trusted foundation
Perks/Benefits
Skills/Tech-stack
API | APIs | AWS | Airflow | Azure | Azure Data | Azure Data Factory | BigQuery | DBT | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Pipelines | Data Quality | Databricks | ELT | ETL | Fivetran | GCP | Kafka | Lakehouse | Machine Learning | Metadata Management | Power BI | Python | Real Time | Real-time Data | Real-time data pipelines | Redshift | SQL | Snowflake | Spark | Spark Streaming
Education
Roles
Regions
Countries
States
Cities
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