AI Data Engineer

We are looking for an AI Data Engineer to design and develop our data transformation initiatives as we build the data foundation to drive our marketing strategy to enhance our internal and external customer experiences and personalization. We are seeking an AI Data Engineer driven by a passion for analyzing and devising solutions, someone who thrives on starting from the customer's perspective and excels at solving complex, ambiguous challenges. This is a mission-critical role with substantial scope, complexity, executive visibility, and has a large opportunity for impact.​ If you are passionate about creating a seamless customer experience and being hands-on Data & AI enabled solution development, this is the role for you! About the Role In this role as an AI Data Engineer, you will: Independently own and manage assigned projects and meet deadlines, clearly communicating progress and barriers to manager and stakeholders. Serve as a visible Subject Matter Expert on our Customer Data Platform, maintaining up-to-date awareness of industry trends, cutting-edge technologies, and best practices on relevant topics including unified customer profiles, deterministic and probabilistic matching, identity graphs, data enrichment, etc. Design and implement data ingestion pipelines to collect and ingest customer data into the Customer Data Platform from various sources. This involves setting up data pipelines, APIs, and ETL (Extract, Transform, Load) processes. Create and design data models, schemas, and database structures in Snowflake. Carry out comprehensive data analysis from various system sources to yield enhanced insights into customer behavior and preferences. Ensure the launch of new data, segmentation, and profile capabilities, as well as the evolutions of the platform, go smoothly. This includes testing and post-launch monitoring. Collaborate with marketers and other stakeholders to understand their data needs and translate those needs into technical requirements. Actively identify and propose innovations in data practices that evolve capabilities, improve efficiency or standardization, and better support stakeholders. Shift Timings: 2 PM to 11 PM (IST). Work from office for 2-3 days in a week (Mandatory). About You You’re a fit for the role of an AI Data Engineer, if your background includes: Bachelor’s or master’s degree in data science, business, technology, or an equivalent field. Strong Data Engineering background with 4 to 6 years of experience working on large data transformation projects, preferably related to customer data platforms, Identity Resolution, and Identity Graphs. Solid foundation in SQL and familiarity with other query engines, along with hands-on experience with Snowflake, AWS Cloud, DBT, and Real-time APIs. Strong programming skills in Python and experience with AI/ML frameworks Expertise in using SQL/Presto for querying data across multiple sources and workflow management, including the ability to create, schedule, and monitor data workflows. Experience using any industry-leading customer data platform, marketing data sources such as CRM especially Salesforce, marketing automation platform especially Eloqua is a plus. Exposure to Gen AI, capable of leveraging AI solutions to address complex data challenges. Excellent oral, written, and visual (Power point slides) communication skills, especially in breaking down complex information into understandable pieces, telling stories with data, and translating technical concepts for non-technical audiences. Strong ability to organize, prioritize, and complete tasks with a high attention to detail, even in the face of ambiguity and environmental barriers. Experience in working in iterative development and a solid grasp of agile practices. #LI-GS2 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a s ... (truncated, view full listing at source)