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Data Engineer

Actively Reviewing the Applications

Atlys

India, Delhi Full-Time On-site
Posted 7 hours ago β€’ Apply by June 7, 2026

Job Description

🎯 Atlys' mission is to enable every person on earth to travel freely.


At Atlys, we believe that the path to creating a more open world is by making it efficient to travel. Travelers cite visas as the most frustrating pain point, and we're starting by automating that completely. We're looking for talented people who are interested in building the future of travel alongside us.


Building technology to increase global movement liquidity will be one of the most exciting developments in decades. If you are curious why the smartest people want to work at Atlys, read this post.


We are looking for a Data Engineer who will help strengthen and scale our data infrastructure. This role focuses on building reliable data pipelines, structuring databases across multiple sources, and enabling advanced analytics and machine learning use cases that power better decision-making across the company.


The Job


  • Structure and optimize database schemas across multiple data sources.
  • Build and maintain reliable ETL pipelines and manage the analytics data warehouse.
  • Integrate data from external sources (e.g., ad platforms and third-party tools) to improve data quality and governance.
  • Work closely with the data and engineering teams to support ML-driven data products and segmentation-based insights.
  • Ensure data systems support both operational (OLTP) and analytical (OLAP) workloads effectively.
  • Maintain and improve the performance, reliability, and scalability of the existing data infrastructure.


Ideal Candidate


  • 1–3 years of experience building data pipelines, ETL workflows, or working with databases.
  • Strong experience with Python and FastAPI (or similar backend frameworks such as Go or Node.js).
  • Excellent knowledge of SQL, including DDL, DML, and database design principles.
  • Understanding of OLTP and OLAP systems and how they support different workloads.
  • Experience working with Postgres and ClickHouse is preferred.
  • Familiarity with LLMs or modern AI/ML concepts is a plus.
  • Passionate about how data works and how it can drive better business decisions.


If you’re excited to help build a connected world through seamless travel experiences, we’d love to have you on our team.

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