Job Description

About The Role

We are looking for an experienced Data Engineer with robust 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 workplace.

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
3 to 5 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.
Positive 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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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