About the Role We are looking for aNew-Age Data Engineerwho can go beyond traditional pipelines and work in a fast-paced AI-first eCommerce environment. You will play a pivotal role in designing, building, and maintaining robust data architectures that power integrations with multiple marketplaces (like Amazon, Flipkart, Shopify, Meesho, and others) and enable real-time decisioning through AI/ML systems. If you’re passionate about eCommerce, love solving complex data problems, and enjoy working at the intersection of APIs, cloud infrastructure, and AI, this role is for you. Key Responsibilities Design and implement scalable, fault-tolerant data pipelines for ingestion, transformation, and synchronization across multiple marketplaces Integrate and manage APIs and webhook systems for real-time data capture from external platforms Collaborate with AI/ML teams to serve structured and semi-structured data for model training and inference Build and maintain data lakes and data warehouses with efficient partitioning and schema design Ensure data reliability, accuracy, governance, and lineage tracking Automate monitoring and anomaly detection using modern observability tools Optimize data infrastructure costs on cloud platforms (AWS/GCP/Azure) Key Qualifications 2-3 years of experience in data engineering or backend systems with large-scale data Strong programming skills in Python or Scala (bonus: familiarity with TypeScript/Node.js) Deep understanding of SQL and NoSQL databases (PostgreSQL, MongoDB, etc.) Experience with distributed data processing tools like Apache Spark, Kafka, or Airflow Proficiency in using APIs, webhooks, and event-driven data architectures Experience working with cloud-native data tools (e.g., AWS Glue, S3, Redshift, BigQuery, or Snowflake) Solid grasp of data modeling, ETL/ELT design, and performance tuningNice to Have Experience in the eCommerce or retail tech domain Exposure to MLOps and working with feature stores Knowledge of GraphQL Interest or prior experience in real-time recommender systems or personalization engines What We Offer Work in a high-growth, AI-native eCommerce tech environment Autonomy to choose tools, propose architectures, and shape the data roadmap Opportunity to work closely with AI scientists, product managers, and integration teamsInterested candidates can send their resume to : [careers@] ✉️ Subject Line: Application – Data Engineer (AI x eCommerce)
Job Title
Data Engineer