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Lead the design, implementation, and optimization of Snowflake data warehousing solutions. Develop scalable data models and pipelines, optimize Snowflake performance and costs, oversee CI/CD automation, integrate monitoring and analytics tools, ensure data security and governance, and mentor junior engineers while aligning technical solutions with business requirements.

Manages end-to-end project planning, execution, budgeting, delivery, milestones, risks, resources, dependencies, and stakeholder communication. Facilitates Agile ceremonies, monitors team capacity and velocity, removes roadblocks, reports project metrics, manages customer and leadership expectations, and leads cross-functional teams to improve organizational processes and delivery outcomes.

Develop and maintain Snowflake data pipelines, write and optimize SQL for integration and transformation, assist with CI/CD deployment automation, test and debug workflows, optimize performance, collaborate with senior developers, and document data processes and architectural decisions.

Design, develop, maintain, and optimize Talend ETL processes and scalable data pipelines. Extract and load data across databases, files, APIs, cloud platforms, and data warehouses such as Snowflake. Implement data transformations, quality checks, validations, monitoring, troubleshooting, documentation, governance, security, and privacy controls. Collaborate with architects, analysts, and stakeholders while supporting data migration and legacy-system integration projects.