Sr Snowflake Engineer

Job highlights

• The ideal candidate should have hands-on experience in ETL / ELT development,data modeling,and cloud data engineering while working in an agile environment. . Key Responsibilities
• . 4 to 8 years of experience in Data Engineering. . Strong hands-on experience with Python,Matillion,and Snowflake .
• Experience working with cloud platforms such as AWS,Azure,or GCP .

Job Description

We are looking for an experienced Senior DataEngineer with strong expertise in Python, Matillion, and Snowflake to design, develop, and optimize scalable data pipelines and cloud-based data warehouse solutions. The ideal candidate should have hands-on experience in ETL/ELT development, data modeling, and cloud data engineering while working in an agile environment.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Matillion.

• Build and optimize data warehouse solutions on Snowflake.

• Develop robust data processing frameworks and automation scripts using Python.

• Create and maintain data models, transformations, and workflows to support business analytics.

• Optimize Snowflake performance, including query tuning, clustering, and warehouse management.

• Integrate data from multiple structured and unstructured sources.

• Collaborate with business stakeholders, analysts, and cross-functional engineering teams to deliver high-quality data solutions.

• Implement data quality, validation, monitoring, and error-handling mechanisms.

• Participate in code reviews, testing, deployment, and production support activities.

• Follow best practices for security, governance, and documentation. Qualifications

• 4 to 8 years of experience in Data Engineering.

• Strong hands-on experience with Python, Matillion, and Snowflake.

• Experience building ETL/ELT pipelines and data integration solutions.

• Strong SQL skills with experience in query optimization.

• Good understanding of data warehousing concepts and dimensional data modeling.

• Experience working with cloud platforms such as AWS, Azure, or GCP.

• Knowledge of Git, CI/CD pipelines, and Agile methodologies.

• Strong analytical, troubleshooting, and problem-solving s

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