Custom Software Engineer
Accenture · Pune · onsite · Posted 65d ago
Undisclosed2–5 yrsfulltimeSourced from
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About this role
About The Role
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
5 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:
Must Have (CoreApplicable 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.
Qualification15 years full time education
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
5 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:
Must Have (Core
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.
Qualification15 years full time education
Sourced from naukri
Skills
Software EngineerAgilePerformance Tuningsoftware solutionscloud platformscloud nativeuse casesdata storagestorage solutionsProgrammingleadershipDatabase ManagementData EngineeringSQLETLData ModelingData Pipeline
About Accenture

Accenture
IT Services & Consulting
350k+
employees
1989
37 years old
Dublin
Ireland
About
Accenture plc is an Irish-American, professional services company based in Dublin, specializing in information technology services and consulting.
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