The Custom Software Engineer will develop and enhance software solutions, focusing on data engineering, data modeling, ETL processes, and database management in an agile environment.
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 : Data Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Must Have (Core – Applicable Across Most Data Engineering Demands)
These are the explicit baseline requirements captured in the internal JD.
Proficiency in Data Engineering
Experience with data modeling and ETL processes
Strong understanding of database management systems and SQL
Familiarity with cloud platforms and data storage solutions
Knowledge of programming languages relevant to data engineering
Ability to work independently, contribute to team discussions, collaborate with stakeholders, and operate as an SME
Good to Have (Commonly Requested, Not Universal)
These skills increase deployability but are not mandatory for every Data Engineering demand.
Participation in code reviews and providing constructive feedback to peers
Experience building high quality, performant data pipelines aligned to business use cases
Note: The JD does not explicitly list a separate Good to Have section for Data Engineering the items above are derived from the Roles & Responsibilities and framed as commonly valued enrichers.
Depending on Client Needs (Demand Specific / Program Driven Overlays)
Use these selectively based on the client s data maturity, platform stack, and engagement model.
Greater emphasis on team leadership and technical decision ownership for lead level or GCC roles (explicitly referenced in the JD context)
Focus on performance tuning, scalability, and optimization in large scale data environments
Stronger alignment to cloud native data platforms (e.g., cloud data warehouses, distributed processing frameworks) depending on client ecosystem
(These are positioned as overlays because they are not explicitly enumerated in the JD text but are commonly toggled per client engagement.)
Experience
a: Should have Good Communication Skills and leadership skills.
b: Should have Good analytical skills and presentation skills.
c: Minimum 15 yrs. of full time educational 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 : Data Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Must Have (Core – Applicable Across Most Data Engineering Demands)
These are the explicit baseline requirements captured in the internal JD.
Proficiency in Data Engineering
Experience with data modeling and ETL processes
Strong understanding of database management systems and SQL
Familiarity with cloud platforms and data storage solutions
Knowledge of programming languages relevant to data engineering
Ability to work independently, contribute to team discussions, collaborate with stakeholders, and operate as an SME
Good to Have (Commonly Requested, Not Universal)
These skills increase deployability but are not mandatory for every Data Engineering demand.
Participation in code reviews and providing constructive feedback to peers
Experience building high quality, performant data pipelines aligned to business use cases
Note: The JD does not explicitly list a separate Good to Have section for Data Engineering the items above are derived from the Roles & Responsibilities and framed as commonly valued enrichers.
Depending on Client Needs (Demand Specific / Program Driven Overlays)
Use these selectively based on the client s data maturity, platform stack, and engagement model.
Greater emphasis on team leadership and technical decision ownership for lead level or GCC roles (explicitly referenced in the JD context)
Focus on performance tuning, scalability, and optimization in large scale data environments
Stronger alignment to cloud native data platforms (e.g., cloud data warehouses, distributed processing frameworks) depending on client ecosystem
(These are positioned as overlays because they are not explicitly enumerated in the JD text but are commonly toggled per client engagement.)
Experience
a: Should have Good Communication Skills and leadership skills.
b: Should have Good analytical skills and presentation skills.
c: Minimum 15 yrs. of full time educational 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.
Top Skills
Cloud Platforms
Data Engineering
Data Storage Solutions
SQL
Accenture Pune, Mahārāshtra, IND Office
Building B-1, Magarpatta City (SEZ, Mundhwa Rd, Magarpatta, Hadapsar, Pune, Maharashtra, India, 411013
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