Commercial Data Engineering Specialist

Position Overview
This role is part of the Commercial Analytics Center of Excellence team, based out of Corteva's Global Shared Center (CGSC) in Hyderabad. The position owns the design and delivery of data solutions that enable actionable insights and support the development of seamless, user-friendly data, analytics and insights delivery. This includes building and optimizing data ingestion, data pipelines and flows, and storing organized data to improve ease of use and access, creating data agents, thereby advancing the commercial team's data-based decision making. The role is split approximately 60% Data Engineering & Analytics and 40% AI Enablement.
Primary Responsibilities
Brief Job Description –
Process all indicated activities in compliance with policy and procedures
Design, build and maintain reliable data pipelines and data solutions for the commercial team
Enable actionable insights and a seamless, user-friendly analytics and insights experience through AI, Agents.
Act as team backup for other team members
Key Responsibilities
Data Engineering & Analytics (≈60%)
Design and implement scalable ETL/ELT processes, database queries, and data access models to support reliable data aggregation and insight delivery.
Build and maintain data pipelines for commercial data.
Process and transform data, and prepare it to be ready and available for modeling and analysis.
Deliver analytics and insights and engage with commercial stakeholders (or demonstrate the willingness and persistence to learn these).
Serve as the data engineering partner to commercial stakeholders such as Commercial Analysts, Commercial Excellence teams/leaders and Marketing leaders on data-related work.
AI Enablement using Agents, Workflows and Innovative Tools & Techniques (≈40%)
Develop and deploy intelligent agents capable of orchestrating multi-step tasks, integrating with regional and enterprise data sources, and delivering contextual insights to commercial stakeholders.
Build and optimize data pipelines in Microsoft Fabric and Databricks to feed AI agents and models with clean, high-quality, contextual data.
Integrate relevant data agents into a common copilot agent interface to increase ease of usage and access, enhance decision-making, and deliver an integrated insights user experience.
Design and implement AI-powered workflows leveraging Microsoft Fabric, Power Platform and Copilot Studio to automate processes.
Implement governance, security and compliance best practices for data agents and AI workflows within enterprise environments.
Prototype and experiment with emerging internal tools and frameworks; monitor and fine-tune agents for accuracy, performance and user adoption.
Qualifications & Experience
Bachelor's degree in Data Science, Computer Science, IT or a similar discipline.
Around 5 years of experience in creating and using data pipelines, data processing, and Power BI or Fabric for BI.
Good exposure and more than 1 year of experience with Microsoft Power Platform, Copilot Studio and the agent ecosystem.
Advanced working SQL knowledge and proficiency in any modern programming language such as Python.
Experience working with data platforms (e.g. Databricks, Fabric).
Commercial data and business process understanding.
Professional working fluency in English.
Preferred / Good To Have
Post graduation in Data and related disciplines
Experience working across business regions in a multi-country environment.
Experience working in agri, consumer goods, pharma or related organizations in data and analytics domain.

Work arrangement
No