Lead, Big Data Analytics & Engineering
Tasks
- Analyze transactional and product data for insights
- Apply metrics measurement benchmarking for continuous improvement
- Build and maintain scalable data pipelines
- Deliver proofs of concept prototypes and pilots
- Design data architectures and communicate trade offs
- Enable advanced analytics on high volume high velocity datasets
- Enhance platforms products and services with new data assets
- Integrate diverse data sources into unified governed foundation
- Lead large scale data ingestion transformation aggregation
- Promote data modeling pipeline design performance optimization data governance
- Provide technical mentorship and guidance to data engineers and analysts
- Translate data requirements into scalable engineering solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache NiFi | Azure | Azure Data | Azure Data Factory | CI/CD | Data Factory | Data Governance | Data Lake | Data Mining | Data Modeling | Data Quality | DevOps | ELT | ETL | GCP | Graph Database | Hadoop | Impala | Machine Learning | NumPy | Pandas | Pentaho | PySpark | Python | SQL | Talend
Education
N/A
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