Lead Data Engineer, Czech Republic - Remote
Prague, Prague 5, CZ, 150 000
R
CZK 757K-900K (estimate) Senior-level Full Time
Tasks
- Automate model training pipelines
- Build low latency streaming pipelines
- Build machine learning data foundation
- Build modular data modeling
- Create data pipelines for decision making
- Design operational data store
- Develop feature stores
- Enable MLOps deployment
- Ensure data governance and auditing
- Establish data contracts
- Foster DataOps automation testing observability
- Implement ELT transformation layer
- Implement vector database for LLM features
- Manage data FinOps compute cost
- Mentor engineering team
- Optimize analytical data for performance
- Oversee real time operational data pipelines
- Scale analytical data warehouse
- Support unstructured data integration
- Translate technical roadmaps into business value
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Airflow | Airflow DAGs | BigQuery | CCPA | DBT | Data Contracts | Data Governance | Data Quality | Databricks | ELT | ETL | Feature Store | Flink | GDPR | Great Expectations | IAM | Infrastructure as Code | Kafka | Kafka Streams | Kinesis | MLOps | Machine Learning | Milvus | Monitoring | Pinecone | Python | SQL | Snowflake | Spark | Spark Streaming | Vector Databases | Weaviate | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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