Lead Data Analytics & AI Engineer
Tasks
- Build and maintain data pipelines
- Collaborate with product, engineering, and data science
- Create automation and observability patterns
- Define data ecosystem architecture
- Design data models and transformations
- Develop analytics engineering models
- Enable LLM based AI workloads
- Enable classical machine learning features
- Implement data governance and testing
- Manage CI/CD pipelines and deployments
- Mentor engineers on modeling and system design
Perks/Benefits
- Bonus plan
- Health insurance
- Hybrid work
- Long-term illness protection
- Pension
- Referral bonus
- Shareholding programme access
- Work from home flexibility
Skills/Tech-stack
AWS | Airflow | Apache Spark | CI/CD | Cloud platform | DBT | Dagster | Data Governance | Data Modeling | Data pipeline | Git | GitHub | GitHub Actions | Google Cloud | Google Cloud Platform | Kafka | Kinesis | LLM | Machine Learning | Python | SQL | Snowflake | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Analytics Engineer | Data Analytics | Data Analytics Engineer | Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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