Senior Data Engineer (3 - 4 Years)

About Wishlink

Wishlink is building the future of creator-led shopping. We help users discover and buy products through content creators they trust, sitting at the intersection of e-commerce and social media.

Team and Investors

We're 3 founders,Chandan,Shaurya, andDivyansh, with a shared passion to solve real-world problems at scale and consume content for hours. We started Wishlink in January 2022 and are based out of Gurugram. We have recently raised a series B round of $17.5M in February 2026, backed by leading global investors including Vertex Ventures SE Asia & India, Fundamentum, and Elevation Capital.

Why Join Us?

Our team includes alumni from IITs, IIMs, and top tech companies, and we move fast while having a LOT of fun! We work with brands like Amazon, Flipkart, Myntra, Nykaa, Ajio, H&M, and many more. At Wishlink, you get to work in a fast-emerging consumer-tech startup and play an integral part in building the creator-enabled eCommerce space.

What would you be doing?

•     Watch Reels and YouTube videos every day & level up on your fashion sense! •     This is a hands-on engineering role where you will actively build and write production code — not just manage or delegate. •     Design, build, and maintain scalable batch and near real-time data pipelines. •     Develop ETL/ELT pipelines using Python, SQL, and Spark/PySpark on Databricks. •     Build Bronze, Silver, and Gold data models using a Lakehouse (Medallion) architecture. •     Optimize Spark jobs for performance, scalability, and cost. •     Work with structured and semi-structured datasets from multiple sources. •     Develop reusable, production-ready data engineering frameworks. •     Own data quality, monitoring, and pipeline reliability as measurable outcomes. •     Collaborate closely with Product, Analytics, and Business teams. •     Participate in code reviews and production support. •   ž Navigate our current stack: Spark, Databricks, Delta Lake (Medallion architecture), BigQuery, Airbyte, and Power BI.

What are we looking for?

•     If you are a content creator yourself or have worked closely in the social media space, we like you already :) •     3+ years of professional experience in Data Engineering, with a strong software engineering foundation. •     Strong SQL skills (joins, CTEs, window functions, query optimization). •     Hands-on Python programming skills. •     Hands-on experience with Apache Spark / PySpark / Databricks. •     Solid knowledge of data warehousing and data modeling. •     Experience with ETL/ELT and incremental data processing. •     Experience with the AWS or GCP cloud ecosystem. •     Strong communication skills — you can translate between data engineering and business/analytics stakeholders.

• 3+ years of professional experience in Data Engineering, with a strong software engineering foundation.
• Strong SQL skills (joins, CTEs, window functions, query optimization).
• Hands-on Python programming skills.
• Hands-on experience with Apache Spark / PySpark / Databricks.
• Solid knowledge of data warehousing and data modeling.
• Experience with ETL/ELT and incremental data processing.
• Experience with the AWS or GCP cloud ecosystem.
• Strong communication skills — you can translate between data engineering and business/analytics stakeholders.