Lead Data Analytics & AI Engineer
Tasks
- Build data ingestion pipelines
- Collaborate cross functionally with data science
- Define data architecture strategy
- Define feature pipelines
- Design dbt models
- Develop production data pipelines
- Enable LLM based workloads
- Establish data governance and testing standards
- Implement automation and observability
- Mentor engineers in modeling and system design
- Set technical direction and engineering best practices
- Support classical machine learning models
Perks/Benefits
- Health insurance
- Hybrid work
- Long-term illness protection
- Pension
- Referral bonus
- Shareholding programme
- Work from home flexibility
Skills/Tech-stack
API | AWS | Amazon Kinesis | Apache Airflow | Apache Flink | Apache Spark | CI/CD | Cloud platform | DBT | Dagster | Data Governance | Data Modeling | Generative AI | Git | GitHub | GitHub Actions | Google Cloud | Google Cloud Platform | Kafka | Language Models | Large Language Models | Machine Learning | Python | SQL | Snowflake | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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