Lead Data and AI Engineer
Tasks
- Automate simplify standardize and optimize data engineering processes and platform capabilities
- Collaborate with cross functional agile teams to deliver high quality data solutions
- Design build deploy and support scalable data pipelines and data products
- Develop test and optimize reusable data assets for analytics and AI ML workflows
- Drive operational excellence for production data assets including monitoring incident response and release management
- Evolve data engineering standards best practices and knowledge sharing
- Lead mentor and develop data engineering team
- Lead solution design and technical planning with business and technology teams
- Manage team delivery priorities capacity planning and execution
- Provide architectural leadership across data pipeline orchestration and distributed processing
- Stay current with emerging technologies and modern data engineering practices
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Batch Processing | CI/CD | DBT | Data Architecture | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehouse | Data integration | Data mesh | Distributed Processing | ELT | ETL | Hadoop | Informatica | Informatica IICS | Java | Kafka | Lakehouse | Near-real-time | Python | Real Time | Release Management | SQL | Scala | Snowflake | Spark | Streaming Data | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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