About the Role
About the Role
We are looking for a Full Stack Data Engineer to design, build, and maintain scalable data platforms and pipelines. The ideal candidate has strong hands-on experience across data ingestion, transformation, orchestration, and cloud-based analytics, with a focus on modern lakehouse architectures.
Key Responsibilities
- Design, develop, and maintain end-to-end data pipelines using Python, PySpark, and SQL
- Build and optimize data transformation workflows using dbt on Snowflake
- Develop scalable lakehouse architectures for structured and semi-structured data
- Implement reliable data ingestion frameworks using Kafka, AWS Glue, and custom connectors
- Orchestrate workflows and manage dependencies using Apache Airflow
- Manage cloud infrastructure on AWS (S3, Glue, EMR, Redshift/Snow...
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