Senior Data Engineer
Tasks
- Analyze business processes and define data requirements
- Architect RAG and vector database solutions
- Build predictive models and decision engines
- Design scalable data architectures
- Engineer ETL and ELT pipelines
- Implement data quality, validation, and governance
- Lead client technical discovery sessions
- Mentor team members on data engineering and cloud architectures
Perks/Benefits
- Conference opportunities
- Employee workshops
- Extra vacation days
- Flexible working hours
- Health insurance
- Referral bonus
- Training budget
- Work from anywhere
- Work from home
Skills/Tech-stack
AWS | Amazon Redshift | Apache Airflow | Apache Spark | Azure | BigQuery | Data Governance | Data Lineage | Data Quality | GCP | Generative AI | Kafka | Language Models | Large Language Models | Metadata Management | Pandas | Prompt engineering | PySpark | Python | RAG | Semantic Search | Snowflake | Vector Databases
Education
N/A
Roles
Regions
Countries
States
Cities
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