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Senior Data Engineer - Snowflake

Inumellas Consultancy Services
6 - 15 Years
Multiple Locations

Posted on: 17/09/2026

Job Description

Job Description :

Company is seeking a highly skilled and motivated Snowflake Data Engineer to join our dynamic team. As a leading data analytics firm, we are committed to delivering innovative solutions and insights to our clients. The ideal candidate will have a strong background in data engineering, with a focus on Snowflake and cloud data warehousing.

Responsibilities :

- Design, develop, and maintain data pipelines in Snowflake to facilitate data ingestion, transformation, and storage.

- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions that meet business needs.

- Optimize ETL processes for performance, scalability, and reliability within the Snowflake environment.

- Monitor and troubleshoot data pipeline issues, ensuring data quality and availability.

- Implement best practices for data modeling, database design, and data governance.

- Stay updated on the latest trends and technologies in data engineering and cloud computing, particularly within the Snowflake ecosystem.

- Document technical processes and maintain data dictionaries to ensure knowledge sharing within the team.

Qualifications :

- Bachelor's degree in computer science, Information Technology, or a related field.

- Proven experience as a Data Engineer, with a focus on Snowflake and data warehousing.

- Strong proficiency in SQL and experience with ETL tools and data transformation techniques.

- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

- Knowledge of programming languages such as Python or Java is a plus.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills to work effectively in a team environment.

What We Offer :

- Competitive salary and benefits package.

- Opportunity to work with a talented and innovative team.

- Exposure to cutting-edge technologies and tools in the data engineering field.

- A flexible and supportive work environment that encourages professional growth.

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