Accenture India Private Limited
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Jaipur · On-site · 3-6 Yrs · Sep 10
Business consulting · 10000+ Employees · Dublin, Ireland
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 accenture.com.
Hiring: Engineering
What employees say
+ Good atmosphere and will be a great experience in learning
− No Hike since past 2 years Mgmt says client rules but HR says No early release.
More reviews on the company profile.
Interview experience · Engineer
Accenture interview process was pathetic. The interviewer who scheduled call dint attend the call itself. Additionally, the interview process was multiple rounds which was time consuming and no results declared
Average difficulty · India · 19,414 reports
More interview insightsJob description
Overview
Custom Software Engineer Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications.
Responsibilities
- Design, develop, and operate BODS data integration jobs for structured and semi structured data across SAP and non SAP systems.
- Implement robust batch and near real time data pipelines supporting analytics, reporting, data warehousing, and downstream applications.
- Build reusable data flows, workflows, and transforms aligned to enterprise data architecture standards. 2) Data Modeling, Transformation & Enrichment
- Design complex transformation logic using BODS features such as queries, transforms, lookups, hierarchies, and reusable objects.
- Implement data enrichment, standardization, and harmonization logic across multiple source systems. Apply canonical data modeling practices to reduce duplication and point to point complexity. 3) Data Quality, Profiling & Governance
- Implement data quality rules for validation, cleansing, matching, deduplication, and standardization.
- Build profiling and validation pipelines to assess data completeness, accuracy, consistency, and timeliness.
- Support governance requirements through lineage-aware jobs, audit trails, and traceable transformations. 4) AI Native Data Engineering (Agentic ETL Layer) Build data engineering agents that can: o
- Analyze source metadata and recommend transformation logic. o Propose data quality rules based on observed patterns and historical issues. o Auto-generate initial ETL mappings and job scaffolding, validated against enterprise standards.
- Implement retrieval grounded assistance that uses metadata catalogs, mapping documents, business rules, and historical defects to produce verifiable recommendations. Enable conversational exploration of data pipelines (e.g., why did this record fail , what changed in yesterday s load ) with grounded, auditable outputs. 5) Testing, Validation & Evaluation Loops
- Design automated validation strategies: schema checks, row counts, reconciliation rules, referential integrity checks, and regression comparisons. Establish evaluation harnesses for AI behaviors: golden datasets for transformations, accuracy checks for generated rules, and drift detection. Gate releases of ETL logic and AI-generated artifacts through measurable quality thresholds. 6) Performance, Scalability & Reliability
- Optimize ETL jobs for performance and scalability (parallelism, pushdown, efficient transforms, resource tuning).
- Support modernization initiatives by integrating BODS pipelines with cloud data platforms and analytics ecosystems. Assist in transitioning legacy ETL logic toward more modular, metadata driven, and AI augmented data architectures.
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Job application FAQ
Last updated 17 September 2026
- How do I apply for Custom Software Engineer - AI & SAP BusinessObjects Specialist at Accenture India Private Limited?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Accenture India Private Limited may attach structured assessments to interview rounds after you apply.
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- Is Custom Software Engineer - AI & SAP BusinessObjects Specialist remote or on-site in Jaipur, Rajasthan?
- This listing is marked on_site with location Jaipur, Rajasthan. Confirm details on the job description before applying.
- What skills matter for this Custom Software Engineer - AI & SAP BusinessObjects Specialist role at Accenture India Private Limited?
- This is a mid-level Custom Software Engineer - AI & SAP BusinessObjects Specialist role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.