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Design and maintain scalable cloud data pipelines, ELT/ETL workflows, data models, and automation systems supporting cloud cost visibility and optimization. Use Python, SQL, dbt, Airflow, AWS services, and Snowflake to process telemetry and usage data. Optimize performance, reliability, and cost; ensure data quality, validation, and auditability; and partner with Engineering and Finance stakeholders on usage-based insights and cost-saving initiatives.

Designs and maintains scalable cloud data pipelines, ELT/ETL workflows, data models, and automation systems supporting cloud cost visibility and optimization. Uses Python, SQL, dbt, Airflow, AWS data services, and Snowflake to process telemetry and usage data. Responsibilities include query and infrastructure optimization, data quality validation, auditing, troubleshooting, and collaboration with Engineering and Finance stakeholders.

Design and maintain scalable ELT/ETL pipelines, data models, ingestion frameworks, and automation systems supporting cloud cost visibility and optimization. Use Python, SQL, dbt, Airflow, AWS services, and Snowflake to process telemetry and usage data. Optimize performance, reliability, and costs while ensuring data quality, validation, auditability, and production troubleshooting. Partner with Engineering and Finance stakeholders on usage-based insights and cost optimization initiatives.

Designs and maintains scalable cloud data pipelines, ELT/ETL workflows, data models, and automation systems supporting cloud cost visibility and optimization. Uses Python, SQL, dbt, Airflow, AWS services, and Snowflake to process telemetry and usage data. Responsibilities include query and infrastructure optimization, data quality validation, auditing, troubleshooting, and collaboration with Engineering and Finance stakeholders.

Design and maintain scalable ELT/ETL pipelines, data models, and automation systems supporting cloud cost visibility, attribution, and performance insights. Use Python, SQL, dbt, Airflow, AWS services, and Snowflake to optimize data workflows for reliability, performance, and cost. Ensure data quality, validation, and auditability while partnering with Engineering and Finance stakeholders on cloud cost optimization and usage-based decisions.

Design and maintain scalable cloud data pipelines, ELT/ETL workflows, data models, and automation systems supporting cloud cost visibility and optimization. Use Python, SQL, dbt, Airflow, AWS services, and Snowflake to process telemetry and usage data. Optimize performance, reliability, and cost while ensuring data quality, validation, and auditability. Partner with Engineering and Finance stakeholders on usage-based insights and cost-management initiatives.

Designs and maintains scalable ELT/ETL pipelines, data models, and automation systems supporting cloud cost visibility and optimization. Uses Python, SQL, dbt, Airflow, AWS services, and Snowflake to process telemetry and usage data. Optimizes performance, reliability, storage, and compute costs while ensuring data quality, validation, and auditability. Partners with Engineering and Finance stakeholders on cost-aware decision-making and usage insights.

Designs and maintains scalable cloud data pipelines, ELT/ETL workflows, data models, and automation systems supporting cloud cost visibility and optimization. Uses Python, SQL, dbt, Airflow, AWS data services, and Snowflake. Optimizes performance, reliability, storage, and compute costs while ensuring data quality, validation, and auditability. Partners with Engineering and Finance stakeholders on usage-based insights and cost optimization initiatives.

Designs and maintains scalable data pipelines, data models, ingestion frameworks, and automation systems for cloud cost visibility and optimization. Uses Python, SQL, dbt, Airflow, AWS data services, and Snowflake to process telemetry and usage data. Optimizes performance, reliability, and cost; ensures data quality, validation, and auditability; and partners with Engineering and Finance stakeholders on cost-aware decision-making.

Architects low-latency .NET APIs and backend services while building Angular interfaces for a large-scale financial platform. Develops microservices and message-driven systems, maintains automated test coverage, participates in code reviews, manages CI/CD and observability, and defines OpenAPI contracts. The role requires SQL and NoSQL expertise, Agile/Scrum experience, and production experience with .NET and Angular.