Data Engineer

Scalence L.L.C. is seeking a Data Engineer to design, develop, and maintain scalable data pipelines. The role involves building and managing Snowflake data warehouse solutions, developing ETL processes, and ensuring data quality and integrity.

Responsibilities:

• Design| develop| and maintain scalable data pipelines using Python and SQL to support business and analytics requirements
• Build| optimize| and manage Snowflake data warehouse solutions| including data modeling| transformation| and performance tuning
• Develop and maintain ETL/ELT processes for integrating data from multiple source systems
• Write complex SQL queries| stored procedures| and scripts for data extraction| validation| and reporting
• Implement data quality checks and automated validation processes to ensure data accuracy and integrity
• Utilize Ruby-based test automation frameworks to validate data pipelines| data transformations| and application functionality
• Collaborate with business analysts| developers| QA teams| and stakeholders to understand and deliver data requirements
• Monitor and troubleshoot data workflows| resolving performance and production issues proactively
• Support CI/CD deployments and follow best practices for data governance| security| and compliance
• Contribute to the design of scalable| reliable| and high-performing data architecture within cloud environments

Requirements:

• Design, develop, and maintain scalable data pipelines using Python and SQL to support business and analytics requirements
• Build, optimize, and manage Snowflake data warehouse solutions, including data modeling, transformation, and performance tuning
• Develop and maintain ETL/ELT processes for integrating data from multiple source systems
• Write complex SQL queries, stored procedures, and scripts for data extraction, validation, and reporting
• Implement data quality checks and automated validation processes to ensure data accuracy and integrity
• Utilize Ruby-based test automation frameworks to validate data pipelines, data transformations, and application functionality
• Collaborate with business analysts, developers, QA teams, and stakeholders to understand and deliver data requirements
• Monitor and troubleshoot data workflows, resolving performance and production issues proactively
• Support CI/CD deployments and follow best practices for data governance, security, and compliance
• Contribute to the design of scalable, reliable, and high-performing data architecture within cloud environments
• Digital : Python
• Digital : Snowflake
• PL/SQL