Data Engineer - Snowflake

Key Responsibilities:

• Design & Build: Develop scalable, resilient ETL workflows and real-time data pipelines using Python, PySpark, and AWS services.
• Cloud Engineering: Utilize AWS services such as Glue, Lambda, EC2, RDS, and S3 to build efficient cloud-based data architectures.
• Snowflake Integration: Design and maintain data models, pipelines, and ingestion processes within Snowflake, ensuring performance and scalability.
• API Development: Integrate RESTful and other APIs to ingest and synchronize external and internal datasets.
• Optimization: Monitor and tune the performance of data workflows, pipelines, and queries for minimal latency and high throughput.
• Collaboration: Partner with data analysts, scientists, and stakeholders to define and deliver data requirements.

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