Live opening · Posted 20 days ago

Data Engineer (Up to 80LPA)

CodeRound AI · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 20 days ago
CompanyCodeRound AI
LocationIndia (Remote)
Work modeYes
SourceLinkedin
ListedPosted 20 days ago

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About the role

Description supplied by the original job listing.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯
This role is for one of our client companies — a VC-backed Artificial Intelligence, Enterprise Software, Integration Platform (iPaaS), SaaS startup that has raised $6.4M USD in funding.
𝗦𝗮𝗹𝗮𝗿𝘆: Up to 80LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴
CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.
Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.
🚀 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (3+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)
We are looking for a Senior Data Engineer to design and scale the infrastructure that powers our advanced AI and machine learning initiatives. Join us to build robust data pipelines that drive actionable business intelligence.
🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼
Design and develop scalable data pipelines
Build and maintain data infrastructure and architecture
Ensure data quality, integrity, and reliability
Optimize data workflows for performance and cost
Collaborate with data scientists and analysts
Implement data governance and security standards
Monitor and troubleshoot data systems
✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂
3+ years of experience in data engineering
Strong SQL and Python/Scala skills
Experience with ETL/ELT pipelines and data warehousing
Hands-on experience with big data tools (Spark, Hadoop)
Experience with cloud data platforms (AWS/GCP/Azure)
Knowledge of data modeling and schema design
✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?
Take full ownership of your projects and shape our product direction.
Your code directly impacts how businesses scale their core data operations.
Accelerate your career through mentorship and rapid professional development cycles.
Collaborate daily with a world-class team solving high-stakes technical challenges.

Work arrangement
Yes

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