Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Data Engineering, ServiceNow Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: Pod 5 — Platform Data Reports to: Engineering Manager, Data & Integration (EM2) Experience: 8–12 years Location: Bangalore / US (flexible) Roles &

Responsibilities: This is the tech lead role for Pod 5, the layer that moves data from Accenture's enterprise source systems through validated data products and into the knowledge graph that agents consume. Design and own the end-to-end data pipeline architecture — ingestion from enterprise source systems,



transformation, validation, lineage tracking

Lead Pod 5's two data pipeline engineers, data quality engineer, and data product engineer

Define the data product standard for agent consumption

Own the data quality framework

Partner with the KG/Ontology pod (Pod 1) on the interface between ingested data and graph population

Negotiate data access and ingestion contracts with IT and corporate function data owners

Define the data product versioning model Skilled & Technical Skills: Has built and operated production data pipelines at enterprise scale has worked with enterprise source systems — SAP, Workday, ServiceNow understands data quality as an engineering discipline has defined data product standards.

📌 Data Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru