Job
Description
Role Overview: You will be part of the Accenture Applied Intelligence practice, helping clients grow their business through analytics and insights from data. As an Analyst/Consultant in Applied Intelligence, your role will involve ensuring the reliability, scalability, and efficiency of data pipelines and platforms to deliver actionable insights and AI/ML solutions. Key Responsibilities: - Define infrastructure, data requirements, and operational standards aligned with business goals in the marketing practice. - Build, maintain, and optimize ETL/ELT pipelines, batch and streaming workflows, and data transformation processes. - Implement CI/CD for data pipelines, automate deployments, and ensure operational reliability and observability. - Collaborate with data science, analytics, and product teams to provision data for ML/AI workloads, including feature stores and vector databases. - Monitor and troubleshoot pipeline performance, storage, compute costs, and SLAs. - Partner with managers and leadership to convert infrastructure and operational insights into actionable recommendations. - Lead small project pods, mentor team members, review code, enforce standards, and drive process improvements. - Contribute to internal frameworks, runbooks, templates, and knowledge assets. - Ensure data security, compliance, and governance practices are followed across pipelines and deployments. Qualifications Required: - Experience in data engineering, with a focus on ensuring the reliability and efficiency of data pipelines and platforms. - Hands-on development experience, automation skills, and the ability to translate business and data requirements into robust data architectures. - Strong knowledge of ETL/ELT processes, batch and streaming workflows, and data transformation. - Familiarity with CI/CD practices for data pipelines and ensuring operational reliability and observability. - Ability to collaborate with cross-functional teams and provision data for ML/AI workloads. - Experience in monitoring pipeline performance, troubleshooting issues, and optimizing processes. - Leadership skills to lead small project pods, mentor team members, and drive process improvements. - Knowledge of data security, compliance, and governance practices for pipelines and deployments. Role Overview: You will be part of the Accenture Applied Intelligence practice, helping clients grow their business through analytics and insights from data. As an Analyst/Consultant in Applied Intelligence, your role will involve ensuring the reliability, scalability, and efficiency of data pipelines and platforms to deliver actionable insights and AI/ML solutions. Key Responsibilities: - Define infrastructure, data requirements, and operational standards aligned with business goals in the marketing practice. - Build, maintain, and optimize ETL/ELT pipelines, batch and streaming workflows, and data transformation processes. - Implement CI/CD for data pipelines, automate deployments, and ensure operational reliability and observability. - Collaborate with data science, analytics, and product teams to provision data for ML/AI workloads, including feature stores and vector databases. - Monitor and troubleshoot pipeline performance, storage, compute costs, and SLAs. - Partner with managers and leadership to convert infrastructure and operational insights into actionable recommendations. - Lead small project pods, mentor team members, review code, enforce standards, and drive process improvements. - Contribute to internal frameworks, runbooks, templates, and knowledge assets. - Ensure data security, compliance, and governance practices are followed across pipelines and deployments. Qualifications Required: - Experience in data engineering, with a focus on ensuring the reliability and efficiency of data pipelines and platforms. - Hands-on development experience, automation skills, and the ability to translate business and data requirements into robust data architectures. - Strong knowledge of ETL/ELT processes, batch and streaming workflows, and data transformation. - Familiarity with CI/CD practices for data pipelines and ensuring operational reliability and observability. - Ability to collaborate with cross-functional teams and provision data for ML/AI workloads. - Experience in monitoring pipeline performance, troubleshooting issues, and optimizing processes. - Leadership skills to lead small project pods, mentor team members, and drive process improvements. - Knowledge of data security, compliance, and governance practices for pipelines and deployments.
