Senior Data Engineer
Tasks
- Build GenAI pipelines including RAG and vector workflows
- Create data serving layers using APIs and feature inputs
- Create ingestion transformation and curation workflows
- Design and build cloud data platforms
- Design logical and physical data models
- Develop batch streaming and near real time data pipelines
- Enable datasets for analytics machine learning and optimization
- Establish data observability monitoring and SLA adherence
- Implement data governance lineage quality and access control
- Implement lakehouse architectures and medallion layering
- Optimize pipeline performance scalability and cost efficiency
- Orchestrate and automate data workflows
Perks/Benefits
- Career development roadmap
- Health insurance
- Hybrid work options
- Multisport cards
- Psychological consultations
- Training and development
- Transportation subsidy
- Vacation days
Skills/Tech-stack
ABAC | AWS | Apache Airflow | Apache Spark | Azure | CI/CD | DBT | Data Governance | Data Lineage | Data Quality | Databricks | Delta Lake | Fabric | GCP | Infrastructure as Code | Kafka | Lakeflow | Lakehouse | Python | RBAC | SQL | Snowflake | Terraform | Vector Databases | “as-code”
Education
N/A
Roles
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