Senior Data Engineer
Tasks
- Build GenAI and LLM data pipelines
- Create lakehouse data architectures and medallion layering
- Deliver datasets for analytics machine learning and causal modeling
- Design and build cloud data platforms
- Ensure data governance lineage quality and access control
- Establish data observability monitoring and SLA adherence
- Implement data ingestion, transformation, and curation workflows
- Implement data serving layers for APIs and feature inputs
- Model data for analytical and operational use cases
- Monitor and optimize pipeline performance scalability and cost
- Optimize batch streaming and near real time data pipelines
- Orchestrate and automate end to end data workflows
Perks/Benefits
- English language classes compensation
- Growth framework
- Home office support
- Internal workshops and learning initiatives
- Legal consultations
- Maternity and paternity leave support
- Medical insurance
- Mentoring program
- Participation in local and global communities
- Professional certifications reimbursement
- Progressive benefits packages
- Psychological consultations
- Sports reimbursement budget
Skills/Tech-stack
ABAC | AWS | Apache Airflow | Apache Spark | Azure | CI/CD | DBT | Data Governance | Data Lineage | Data Modeling | Data Quality | Data orchestration | Databricks | Delta Lake | GCP | Infrastructure as Code | Kafka | Lakehouse | Machine Learning | Python | RAG | RBAC | SQL | Snowflake | Terraform | Vector Databases | “as-code”
Education
N/A
Roles
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