Senior Data Engineering, Management and Governance Analyst

Data Eng, Mgmt & Governance Sr Analyst

Skill required: Data Management - Data Analytics
Designation: Data Eng, Mgmt & Governance Sr Analyst
Qualifications:Any Graduation
Years of Experience:5 to 8 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com. Data Management involves the process of collecting, storing, organizing, and maintaining data. It ensures that data is accurate, accessible, and secure. The goal is to support decision-making, improve efficiency, and comply with regulations by effectively handling data throughout its lifecycle. Primary skillsets often include Data Engineering with AWS. We are looking for a Mid-Level Infrastructure Consultant to support and enhance the cloud-based data platform used for managing warranty claims data. The role focuses on operating AWS services, maintaining data pipelines, and supporting infrastructure automation and observability under established architectural standards.
What are we looking for? • 4–6 years of experience in cloud infrastructure, data platform, or DevOps roles • Working knowledge of AWS services, including Glue, Lambda, and Step Functions • Experience using Datadog or similar monitoring tools • Proficiency in Python, SQL, and Git • Understanding of data modeling concepts • Basic to intermediate experience with Terraform or other IaC tools • Familiarity with CI/CD pipelines and DevOps workflows • Exposure to PaaS environments • Experience supporting warranty or claims data platforms • Familiarity with data lakes, data warehouses, or analytics platforms • Exposure to AWS security, IAM, or cost management • Experience working in Agile / DevOps teams
Roles and Responsibilities: • Support the development, operation, and maintenance of AWS-based data infrastructure • Build and maintain AWS Glue jobs, Lambda functions, and Step Functions for data processing workflows • Manage scheduling and orchestration of data pipelines • Monitor platform health and performance using Datadog, and assist with incident resolution • Develop and maintain platform components using Python and SQL • Support data modeling activities to enable efficient analytics and reporting on warranty claims data • Contribute to Terraform infrastructure-as-code templates and deployments • Participate in CI/CD pipelines for infrastructure and application releases • Work with PaaS-based services and integrations • Collaborate with senior engineers and cross-functional teams to implement platform enhancements • Follow security, governance, and operational best practices