<p><p><b>Data Engineer (4- 6 years experience)</b><br/><br/><b>About the Opportunity :</b><br/><br/>This isnt your typical data engineering role youll be building the backbone of a revolutionary travel-tech platform that blends the engagement <br/>of TikTok with the booking power of Expedia, supercharged by Generative AI.<br/><br/>Were transforming how travelers explore and book their journeys: instead of scrolling through static listings, users can watch interactive, shoppable travel videos and book instantly.
Already live with some of the worlds top banks, insurers, telcos, and airlines, weve scaled revenue 4x in the past year.
Backed by world-class VCs and led by former Booking.com leaders, weve recently secured a 5M Series A to fuel our global expansion.<br/><br/><b>Your Responsibilities :</b><br/><br/>- Ensure accuracy, consistency, and transformation of critical datasets<br/><br/></p><p>- Partner with data scientists, analysts, and cross-functional teams to enable insights<br/><br/></p><p>- Deploy, maintain, and optimize scalable cloud-based data infrastructure (AWS/Azure/GCP)<br/><br/></p><p>- Design and develop robust ETL workflows and data pipelines<br/><br/></p><p>- Monitor production systems, troubleshoot performance issues, and implement improvements<br/><br/></p><p>- Uphold best practices in governance, data security, and regulatory compliance<br/><br/><b>What Youll Bring :</b><br/><br/>- 3- 4 years of proven experience in data engineering<br/><br/></p><p>- Strong hands-on expertise with AWS (S3, Redshift, etc.) or other cloud platforms<br/><br/></p><p>- Proficiency in SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB)<br/><br/></p><p>- Practical knowledge of big data technologies like Spark, Hadoop, or Kafka<br/><br/></p><p>- (Bonus) Exposure to data warehousing and data modeling principles<br/><br/><b>Why Youll Love Working Here :</b><br/><br/>- Play a key role in shaping the data foundation of a next-generation travel-tech company<br/><br/></p><p>- Join a fast-growing, VC-backed team at the intersection of AI and travel<br/><br/></p><p>- See your work directly impact millions of users across industries and geographies<br/><br/></p><p>- Work alongside visionary leaders and innovators with deep travel-tech expertise</p><br/></p> (ref:hirist.tech)