The Role
Design, develop, troubleshoot, and optimize scalable Azure data pipelines, architectures, and workflows. Build solutions using Azure Data Factory, Azure SQL Database, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics. Integrate data services with applications and reporting platforms, resolve performance and data integration issues, ensure governance and security, document solutions, collaborate with stakeholders, mentor junior team members, and drive agile process improvements.
Summary Generated by Built In
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Microsoft Azure Data Services
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Job Title: Azure Data Engineer
Location: Pune, India , Job Type: Full-time , Experience Level: L10
Job Summary:
We are looking for a skilled Azure Data Engineer to design, develop, support, and enhance data solutions using Microsoft Azure Data Services. The ideal candidate will be responsible for building scalable data architecture, maintaining cloud-based data pipelines, optimizing data processing workflows, and ensuring high performance, reliability, and security of data solutions.
The role requires strong collaboration with cross-functional teams, active participation in key technical decisions, and the ability to provide solutions across immediate and extended teams. The candidate should also lead process improvement initiatives, mentor junior team members, and drive delivery excellence through agile ways of working.
Key Responsibilities:
Act as an SME in Microsoft Azure Data Services and support the team in delivering high-quality data engineering solutions.
Design, develop, troubleshoot, and optimize Azure-based data pipelines and workflows.
Work with Azure Data Factory, Azure SQL Database, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics to build and manage cloud data solutions.
Collaborate with multiple teams and stakeholders to contribute to key technical and delivery decisions.
Provide solutions to technical problems for the immediate team and across multiple teams.
Support integration of data services with application components and downstream reporting or analytics platforms.
Identify and implement practical improvements that enhance productivity, performance, supportability, and software quality.
Create and maintain technical documentation, operational procedures, and knowledge-transfer materials.
Ensure adherence to data governance, security, compliance, and agile delivery practices.
Required Professional & Technical Skills:
Proficiency in Microsoft Azure Data Services (Must Have)
Strong experience in cloud-based data storage, processing, and analytics solutions (Must Have)
Hands-on experience with Azure Data Factory, Azure SQL Database, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics (Must Have)
Strong understanding of SQL, ETL processes, data warehousing, and data modeling concepts (Must Have)
Ability to design and implement scalable data architectures using Azure cloud services.
Experience in integrating data services with various application and reporting components.
Ability to troubleshoot and resolve complex data pipeline, performance, and integration issues.
Excellent problem-solving, communication, collaboration, and team management skills.
Azure Data Engineer Certification (DP-203) is a plus.
Additional Information:
The candidate should have a minimum of 4 years of experience in Microsoft Azure Data Services.
A 15-year full-time education is required.15 years full time education
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Microsoft Azure Data Services
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Job Title: Azure Data Engineer
Location: Pune, India , Job Type: Full-time , Experience Level: L10
Job Summary:
We are looking for a skilled Azure Data Engineer to design, develop, support, and enhance data solutions using Microsoft Azure Data Services. The ideal candidate will be responsible for building scalable data architecture, maintaining cloud-based data pipelines, optimizing data processing workflows, and ensuring high performance, reliability, and security of data solutions.
The role requires strong collaboration with cross-functional teams, active participation in key technical decisions, and the ability to provide solutions across immediate and extended teams. The candidate should also lead process improvement initiatives, mentor junior team members, and drive delivery excellence through agile ways of working.
Key Responsibilities:
Act as an SME in Microsoft Azure Data Services and support the team in delivering high-quality data engineering solutions.
Design, develop, troubleshoot, and optimize Azure-based data pipelines and workflows.
Work with Azure Data Factory, Azure SQL Database, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics to build and manage cloud data solutions.
Collaborate with multiple teams and stakeholders to contribute to key technical and delivery decisions.
Provide solutions to technical problems for the immediate team and across multiple teams.
Support integration of data services with application components and downstream reporting or analytics platforms.
Identify and implement practical improvements that enhance productivity, performance, supportability, and software quality.
Create and maintain technical documentation, operational procedures, and knowledge-transfer materials.
Ensure adherence to data governance, security, compliance, and agile delivery practices.
Required Professional & Technical Skills:
Proficiency in Microsoft Azure Data Services (Must Have)
Strong experience in cloud-based data storage, processing, and analytics solutions (Must Have)
Hands-on experience with Azure Data Factory, Azure SQL Database, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics (Must Have)
Strong understanding of SQL, ETL processes, data warehousing, and data modeling concepts (Must Have)
Ability to design and implement scalable data architectures using Azure cloud services.
Experience in integrating data services with various application and reporting components.
Ability to troubleshoot and resolve complex data pipeline, performance, and integration issues.
Excellent problem-solving, communication, collaboration, and team management skills.
Azure Data Engineer Certification (DP-203) is a plus.
Additional Information:
The candidate should have a minimum of 4 years of experience in Microsoft Azure Data Services.
A 15-year full-time education is required.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- Minimum 3 years of professional experience
- Minimum 4 years of experience with Microsoft Azure Data Services
- 15 years of full-time education
- Proficiency in Microsoft Azure Data Services
- Experience with cloud-based data storage, processing, and analytics solutions
- Hands-on experience with Azure Data Factory, Azure SQL Database, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics
- Strong understanding of SQL, ETL processes, data warehousing, and data modeling
- Ability to design and implement scalable data architectures using Azure cloud services
- Experience integrating data services with application and reporting components
- Ability to troubleshoot complex data pipeline, performance, and integration issues
- Problem-solving, communication, collaboration, and team management skills
- Azure Data Engineer Certification DP-203
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We 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, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ 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.
