Data Eng, Mgmt & Governance Specialist

Skill required: Data Management - Azure Data Factory

Designation: Data Eng, Mgmt & Governance Specialist

Qualifications:BE/BTech

Years of Experience:7 to 11 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. Understand client requirements and build ETL solution using Azure Data Factory, Azure SQL & ADLS. Build solution in such a way that it can absorb clients change request very easily. Find innovative ways to accomplish tasks and handle multiple projects simultaneously and independently. Works with Data & appropriate teams to effectively source required data. Identify data gaps and work with client teams to effectively communicate the findings to stakeholders/clients.

What are we looking for

• Bachelors degree in Engineering or Science or equivalent graduates with experience in data management including data integration, modeling & optimization
• Minimum 5 years of experience working on Azure Cloud, Azure Data Factory, Azure Databricks, Azure Data Lake
• In-depth understanding of Data Warehousing, ETL concept and modeling principles
• Strong ability to design, build and manage data
• Strong understanding of Data integration
• Strong Analytical and problem-solving skills
• Strong Communication & client interaction skills
• Ability to design database to store huge data necessary for reporting & dashboarding
• Ability and willingness to acquire knowledge on the new technologies, good analytical and interpersonal skills with ability to interact with individuals at all levels Roles and Responsibilities:
• Set up Azure Data Factory (ADF) pipelines with linked services, triggers, and parameterization
• Create Data Pipelines, Data Flow, Data Model according to the business requirement
• Containerize ETL workflows using Azure Container Apps. Configure scheduling through Azure Service Bus for pipeline execution
• Strong experience working on Azure Data Lake Storage (ADLS), Azure data platform, Azure Data Factory (ADF), Azure Data Bricks (ADB)
• Use Ansible playbooks for infrastructure provisioning and deployment consistency
• Maintain Redis cache for intermediate LLM processing states
• Implement monitoring and logging with Azure Application Insights
• Align ingestion schemas and infrastructure with downstream analytics and AI workflows
• Effectively work with client and handle client interactions