Measurement and Report Specialist

Skill required: Business Reporting & Governance - Reporting Analytics Designation: Data Engineering Lead Qualifications:Any Graduation Years of Experience:9 to 13 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? • You own the platforms data supply chain: how source data lands, is refined, and is aggregated into the governed figures every downstream experience depends on. • This is the foundation the rest of the platform stands on, and it is in from the proof of concept. You build the connectors that pull from Channel 2 sources such as SharePoint, databases, email and APIs, the refine and structured-store layers, and the snapshot and freeze mechanism that keeps closed periods from drifting when source records change later. • You build the deterministic aggregation engine in Python and pandas so that every number the platform reports is computed here, once, correctly, and can be reconciled. What are we looking for? • Python, pandas, SQL • ETL and ELT, data pipelines • Connectors and API integration (SharePoint or Graph, databases, email, REST) • PostgreSQL, object storage • Workflow orchestration (Airflow or Cloud Scheduler) • Data quality and reconciliation Roles and Responsibilities: • Own the data supply chain: ingestion and landing, refine, structured store, snapshot and freeze • Build and maintain the deterministic aggregation engine that computes every governed figure in Python and pandas • Build connectors to Channel 2 sources and manage the intake of new sources as accounts onboard • Implement data quality checks, reconciliation and exception handling, with a fallback to manual continuity where a cycle cannot complete automatically • Guarantee that closed periods do not drift, through snapshot and freeze • Direct the data engineer, set standards and review the work • Partner with the semantic and BI lead so computed figures map cleanly to the metric registry • Strong data engineering background across ingestion, transformation and aggregation, in Python and pandas • Experience building connectors and integrations to varied sources: SharePoint or Microsoft Graph, databases, email and REST APIs • A discipline around data quality and reconciliation: you validate outputs against a known source of truth before trusting them • Understanding of snapshot and freeze patterns for period-based reporting • Ability to own a track and set the technical approach for a developer working alongside you • Comfort as the owner of a capability that is new to the team versus prior asset builds Any Graduation Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.