Senior Data Engineer (3 - 4 Years)

WishLink; India; Sur place; INR 1 500 000 - 2 800 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Generous ESOPs

Relocation bonus

Company newsletters and books

Résumé du poste

Wishlink, based in Gurugram, is hiring a data engineer to design, build, and maintain scalable batch and near real‑time data pipelines.

You will work with Spark, Databricks, Delta Lake, and BigQuery, own data models and data quality, and collaborate with Product, Analytics, and Business teams to deliver reliable data products. The role involves continuing code reviews, production support, and optimizing pipelines for performance and cost.

Qualifications

• 3+ years of professional experience in Data Engineering.
• Strong SQL skills with complex queries and optimization.
• Hands-on Spark / PySpark / Databricks experience.
• Experience with AWS or GCP cloud platforms.

Responsabilités

• Design, build, and maintain scalable batch and near real-time data pipelines.
• Develop ETL/ELT pipelines using Python, SQL, and Spark on Databricks.
• Build Bronze, Silver, and Gold data models using a Lakehouse 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.

Connaissances

SQL

Spark/PySpark

Databricks

ETL/ELT

Data warehousing

Data modeling

Cloud (AWS/GCP)

Communication skills

3+ years Data Engineering

Outils

Databricks

BigQuery

Airbyte

Power BI

Description du poste

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 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.
• 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 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.

Good to Have

• Delta Lake or Apache Iceberg.
• Performance tuning and partitioning strategies.

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.

• 1. Competitive Salary, Generous ESOPs, and Relocation Bonus
• 3. Company sponsored newsletters and books