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Job Description

Description :

Key Responsibilities :


- Design, develop, and maintain scalable data solutions using Snowflake.

- Implement and optimize ETL/ELT pipelines for large-scale data processing.

- Collaborate with data architects and analysts to define data models and warehouse structures.

- Ensure data quality, integrity, and security across all stages of the data lifecycle.

- Integrate Snowflake with various cloud platforms (e.g., AWS, Azure, GCP).

- Monitor performance and troubleshoot issues in Snowflake environments.

- Document technical specifications and maintain best practices.

Required Skills & Qualifications :

- 4+ years of experience in data engineering or data warehousing.

- Strong expertise in Snowflake, including performance tuning and advanced features.

- Proficiency in SQL for data manipulation, transformation, and analysis.

- Solid understanding of data warehouse architecture and dimensional modeling.

- Experience with cloud platforms (AWS, Azure, or GCP).

- Familiarity with tools like dbt, Airflow, Informatica, or Talend is a plus.

- Excellent problem-solving and communication skills


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