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 great 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 efficient, complex ETL/ELT jobs and understanding microservices architectures.
Dev Tools: Comfortable with Git version control, CI/CD pipelines, and writing optimized queries.

Bonus Points Culture
Nice to Have: Familiarity with Elasticsearch, Snowplow, or Docker , and curiosity about how data feeds into ML models recommender systems .
Real Human Impact: Your pipelines directly power products that help millions find their life partners.
Scale Growth: Work on complex, high-velocity data problems that will rapidly elevate your engineering career.
Great Vibe: Collaborative teams, vibrant office culture, and brainstorming overchai!

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer II (Tirodi)
🏢 Shaadi.Com
📍 Tirodi