At Shaadi.com, we’re not just building a platform — we’re playing Cupid for millions across the world ️ Behind every successful match, swipe, and connection lies a continuous stream of data. With over 100+ million records generated daily, we rely on rock-solid data engineering to power real human stories, smart recommendations, and seamless user experiences.

If you love building heavy-duty pipelines, taming data lakes, and turning raw data streams into matchmaking magic, this is your sign to join our team

What You’ll Do (Your Daily Quests)
Build High-Volume Pipelines: Design, build and maintain scalable data pipelines (real-time and batch) and large-scale distributed systems that ingest, process and organize large volumes of data.
Architect Data Lakes & Warehouses: Manage scalable data architecture across AWS (S3, Redshift, Glue) so our Data Science, Product, and Analytics teams have clean, queryable data at their fingertips.
Stream in Real-Time: Work with streaming frameworks like Kafka to move event data instantly — making sure live activity, recommendations,



and notifications happen without a hitch ️.
Data Zen & Quality Control: Clean, structure, and optimize raw datasets. Monitor data drift, system performance, and maintain immaculate data reliability ️.
Cross-Functional Collaboration: Partner with Product, Backend Engineering and Data Science teams to build features that directly impact business metrics and user happiness .

What You Bring (Your Tech Superpowers)
Coding Mastery: 2–4 years of hands-on experience in Python (Java or Go is a outstanding plus) with advanced SQL wizardry ‍ ️.
️ Cloud & Big Data: Solid experience with AWS services (Redshift, S3, Glue, CloudFormation, or ECS) and contemporary data lake setups.
Streaming & Messaging: Hands-on experience or deep understanding of the Kafka ecosystem (or AWS Kinesis).
️ ETL & Data Modeling: Proven track record of writing effective, complex ETL/ELT jobs and understanding microservices architectures.

📌 Data Engineer Ii Tardeo
🏢 Shaadi.Com
📍 Tardeo