Senior Software Engineer (Data)

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. In just 4 years, we've grown to 900k users daily, Rs 300cr+ monthly GMV, 30,000+ creators, and 200+ brand partners.

Team and Investors

We’re 3 founders, Chandan, Shaurya, and Divyansh, 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, write production code and not just manage or delegate.
Architect, build, and optimize data pipelines from event collection to storage and serving, owning the end-to-end data lifecycle with high reliability and performance.
Lay the foundational groundwork for a self-serve analytics platform where product and business teams can independently derive insights with minimal engineering dependency.
Build observability systems that proactively surface pipeline failures, data staleness, and anomalies before they impact stakeholders.
Evaluate and implement AI-native approaches (LLM-assisted quality checks, automated monitoring, natural language access) where they deliver practical improvements.
Work closely with analytics and product teams to translate complex data requirements into well-scoped engineering execution.
While your initial focus will be on data infrastructure, there is a clear path to owning broader platform challenges as the team grows.
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 :)
5+ years of software engineering experience, with at least 2+ years deeply involved in scaling data infrastructure. You identify as a strong software engineer first, not just an operator of ETL tools.
Strong foundation in backend engineering, distributed systems, and cloud platforms (AWS/GCP), paired with a deep understanding of modern data concepts like Lakehouse architectures, data modeling, and batch/streaming processing.
You care about data quality and reliability as measurable outcomes: pipeline freshness SLAs, schema drift detection, row-count anomalies, and query performance. You've built or operated systems that track these.
Proven ability to guide peers on engineering best practices, code quality, and scalable system design through code reviews and architecture discussions, without needing formal authority.
Strong communication skills. You can translate between data engineering and business/analytics stakeholders, making complex tradeoffs understandable to non-technical teams.

Good to Have

Experience with CDC pipelines and streaming ingestion tools like Debezium, Kafka connectors, or Airbyte.
Hands-on experience with data partitioning, sharding strategies, and columnar databases like BigQuery for analytical workloads.
Familiarity with BI tooling and building data models that serve non-technical users directly.

Perks and Benefits

We are committed to providing the best environment for you to thrive in. To help with this, we have the following benefits available for all our employees.