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Job Description

Responsibilities :


- Design and Develop Data Pipelines : Build and maintain scalable ETL/ELT data pipelines using Snowflake and Python to ingest, transform, and process large volumes of data from various sources efficiently.

- Data Modeling and Optimization : Design and implement optimal data models, data marts, and data warehouses in Snowflake. Continuously optimize database performance by fine-tuning queries, managing indexes, and ensuring efficient data storage.

- Technical Expertise : Utilize your strong technical skills in Snowflake, Python, and SQL to deliver high-quality data solutions.

- CI/CD Implementation : Implement and manage CI/CD pipelines for data solutions to ensure automated, reliable, and repeatable deployments.

- Graph Database Integration : Leverage experience with Graph Databases to solve complex data relationship and connectivity problems.

- Cross-functional Collaboration : Work closely with other technical teams and business stakeholders to understand data requirements, translate them into technical specifications, and deliver effective data solutions.

- Platform Support and Reliability : Provide ongoing support for the Snowflake platform, troubleshoot issues, and ensure the reliability and availability of data systems.

- Data Governance and Quality : Design and implement data validation routines and automated data quality checks to ensure data accuracy, integrity, and compliance with governance standards.

Required Skills and Qualifications :


- Strong experience as a Snowflake Consultant or in a similar role.

- Expertise in Snowflake, SQL, and Python.

- Proven experience in designing and building ETL/ELT data pipelines.

- Experience with CI/CD practices and tools (e.g., Jenkins, GitLab CI).

- Familiarity with Graph Databases is a significant plus.

- Solid understanding of data modeling, data warehousing, and database design.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.


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