2 days ago
Jaipur, IndiaMid Level
Responsibilities
- Design, develop, and operate SAP BusinessObjects Data Services data integration jobs across SAP and non-SAP systems.
- Build batch and near-real-time data pipelines, reusable data flows, workflows, transformations, and canonical data models.
- Implement data enrichment, standardization, harmonization, validation, cleansing, matching, deduplication, profiling, lineage, and audit capabilities.
- Develop agentic ETL workflows that analyze metadata, recommend transformations and quality rules, generate ETL scaffolding, and provide retrieval-grounded assistance.
- Create automated validation and AI evaluation strategies using schema checks, reconciliations, regression comparisons, golden datasets, and quality thresholds.
- Optimize pipeline performance, scalability, restartability, idempotency, error handling, monitoring, alerting, and recovery.
- Perform root cause analysis for load failures and data-quality issues and automate preventive actions.
- Support modernization of legacy ETL architectures through cloud data-platform and analytics integrations.
- Collaborate with data architects, analytics teams, and platform engineers on end-to-end data solutions.
Requirements
- At least 3 years of professional experience.
- Hands-on expertise with SAP BusinessObjects Data Services (BODS) ETL development and operations.
- Strong understanding of data integration patterns, transformation logic, enterprise data quality, and reliable scalable data pipelines.
- AI-native capability involving tool-augmented workflows, retrieval-grounded recommendations, evaluation loops, and safe automation boundaries.
- Knowledge of data warehousing and analytics fundamentals, including facts, dimensions, hierarchies, and reconciliation.
- Knowledge of metadata management, data lineage, and data governance frameworks.
- Experience integrating ETL platforms with cloud data ecosystems and modern analytics tools is strongly beneficial.
- Scripting or automation skills for pipeline orchestration and operational tooling are strongly beneficial.
- 15 years of full-time education.
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.