Senior Data Lead Engineer
Tasks
- Build maintain data ingestion ETL and transformation pipelines
- Collaborate with product technology and business teams to deliver initiatives
- Define build domain oriented data products
- Deliver semantic layers for BI reporting and analytics
- Design evolve and operate cloud data lakehouse architectures
- Enable AI/ML and LLM use cases
- Implement CDC and event driven ingestion
- Implement data governance and data quality rules
- Integrate cloud and on premise data platforms
- Lead data, AI & BI roadmap
- Support engineering best practices and mentor teams
Perks/Benefits
- Hybrid work
- International projects
- Multicultural team
- Permanent employment
- Training and continuous career development
Skills/Tech-stack
AWS | BI Semantic Modeling | CDC | CI/CD | Confluence | Data Governance | Data Lakehouse | Data Lineage | Data Observability | Data Quality | Data mesh | Databricks | Delta Lake | EMR | ETL | Event Driven | Event-driven architecture | Feature Engineering | Feature Store | Federated Governance | Fine Tuning | Glue | Iceberg | Infrastructure as Code | Jira | Lake Formation | MLflow | Model Monitoring | Model Training | Parquet | Power BI | Prompt engineering | PySpark | Python | Qlik | QuickSight | RAG | S3 | SQL | Scala | Semantic Modeling | Spark | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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