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: Pod 5 — Platform Data
Reports to: Engineering Manager, Data & Integration (EM2)
Experience: 8–12 years
Location: Bangalore / US (flexible)
ROLE OVERVIEW:
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.
KEY RESPONSIBILITIES:
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
IDEAL PROFILE:
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.
15 years full time education
