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 : SAP BusinessObjects Data Services
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
AI Powered Tech Talent. Build AI native data integration and data quality platforms using SAP BusinessObjects Data Services (BODS) by combining deep ETL, data management, and metadata expertise with agentic AI patterns (LLMs + tools + retrieval + evaluation). This role focuses on moving beyond traditional batch ETL into intelligent, self optimizing data pipelines that can reason about data structures, detect anomalies, recommend transformations, and accelerate data modernization—without training foundation models from scratch.
Core Responsibilities
1) Enterprise Data Integration & ETL Engineering
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).
Implement error handling, restartability, idempotency, and recovery mechanisms to support reliable operations.
Monitor pipelines and proactively identify bottlenecks, failures, or data degradation patterns.
7) Operations, Monitoring & Incident Response
Monitor job execution, data volumes, and quality metrics implement alerts aligned to SLAs and business impact.
Perform root cause analysis for load failures and data issues document and automate preventive actions.
Use AI augmented diagnostics to cluster recurring issues and recommend remediation steps grounded in runbooks and past incidents.
8) Modernization & Platform Evolution
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.
Collaborate with data architects, analytics teams, and platform engineers to deliver end to end data solutions.
Primary Skills (AI Native Must Have)
Strong hands on expertise in SAP BusinessObjects Data Services (BODS) ETL development and operations.
Solid understanding of data integration patterns, transformation logic, and enterprise data quality practices.
Experience designing reliable, scalable data pipelines with performance and governance in mind.
AI native capability: tool augmented workflows, retrieval grounded recommendations, evaluation loops, and safe automation boundaries.
Secondary / Strongly Beneficial Skills
Data warehousing and analytics fundamentals (facts, dimensions, hierarchies, reconciliation).
Metadata management, lineage concepts, and data governance frameworks.
Experience integrating ETL platforms with cloud data ecosystems and modern analytics tools.
Scripting or automation skills to support pipeline orchestration and operational tooling.
What This Role Does Not Center On
Training or fine tuning foundation AI models.
Manual, opaque ETL development without observability or measurable quality controls.
Value Delivered
Faster data pipeline development through intelligent ETL scaffolding and grounded recommendations.
Higher data trust via automated quality rules, anomaly detection, and evaluation loops.
Scalable, modern data integration foundations that support analytics, AI, and enterprise decision making.
Additional Information
A 15 years full time education is required.
Hyderabad
Equal Employment Opportunity Statement for Australia and New Zealand
At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day.
Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need.
We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to exectalent@accenture.com or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand).
To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.