Data Engineering, Management & 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
Visit us at www.accenture.com

What would you do
Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Songall powered by the worlds 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. 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

Qualification

BE,BTech