Senior Data Engineer
Tasks
- Architect cloud native data and AI solutions
- Build and maintain ETL/ELT pipelines
- Conduct technical assessments and recommend modern approaches
- Design scalable data architectures
- Ensure data governance and security compliance
- Implement automated data quality checks and monitoring
- Implement infrastructure as code with Terraform
- Integrate data and AI capabilities into data platform architectures
- Lead development of data lakehouse solutions
- Leverage cloud native services for data infrastructure
- Maintain architectural documentation
- Mentor junior data engineers
- Optimize data processing workflows
- Oversee multi-cloud environments
- Participate in architectural reviews and evolve data strategy
- Plan and execute cloud migration strategies
Perks/Benefits
Skills/Tech-stack
Access Management | Apache Airflow | Apache Kafka | Apache Spark | Cloud Security | Data Governance | Data Lakehouse | Data Quality | Data quality monitoring | DataOps | Distributed Systems | ELT | ETL | Identity and Access Management | Identity and access | Infrastructure as Code | LLMOps | MLOps | Machine Learning | Machine Learning Model | Machine learning model deployment | Model Deployment | Network Architecture | Python | Quality monitoring | SQL | Terraform | “as-code”
Roles
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