Data Platform Engineer (Upto 120LPA) (Dharwad)

This role is for one of our client companies — a VC-backed startup that has raised $67M USD in funding. Salary: Up to 120 LPA 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% of tech talent with fast-growing, VC-funded startups across Silicon Valley and India. Top-tier product startups across the US, UK, EU, UAE, and India have hired engineers through CodeRound. ????️ Data Platform Engineer (5+ Years Experience) As a Data Platform Engineer, you’ll design, build, and scale the core data infrastructure powering analytics, AI/ML systems, and business intelligence platforms used across enterprise-scale environments. You’ll work on distributed data systems, large-scale processing pipelines, and cloud-native infrastructure handling high-volume real-time and batch data workloads. This role is ideal for engineers who enjoy solving large-scale data engineering challenges, building reliable platform infrastructure, and working in high-growth AI-driven startup environments. ???? What You’ll Do ⚙️ Data Platform &
• Infrastructure Design and maintain scalable data platform infrastructure Build reliable and efficient data services powering analytics and AI/ML workflows Contribute to architecture and technical decision-making for platform scalability ???? Data Pipelines &
• Processing Build and optimize batch and real-time data pipelines Develop scalable ETL/ELT workflows for large-scale datasets Manage distributed data processing systems and streaming architectures ☁️ Cloud &
• Distributed Systems Work with cloud-native infrastructure across AWS and GCP Deploy and manage scalable distributed systems using Kubernetes Optimize performance, reliability, and scalability of data platforms ???? Reliability, Monitoring &
• Governance Monitor, troubleshoot, and improve production data systems Ensure platform reliability, security, and operational excellence Improve data governance, data quality, and observability processes ???? Cross-Functional Collaboration Collaborate closely with data scientists, analysts, and backend engineering teams Support AI/ML and business intelligence initiatives through scalable infrastructure Automate infrastructure, deployment workflows, and operational processes ✅ You’re a Great Fit If You Have 5+ years of experience in Data Engineering or Data Platform Engineering Are highly proficient in Python, Scala, and SQL Have hands-on experience with Apache Spark, Kafka, and Airflow Understand distributed systems and large-scale data processing architectures Have experience building ETL/ELT workflows and real-time data pipelines Have experience working with cloud platforms such as AWS or GCP Are comfortable with Kubernetes, infrastructure automation, and platform scalability Have experience with Databricks and up-to-date big data tooling Can write clean, maintainable, and production-ready code Have prior startup experience (preferred) ✨ Why Join Us? Build large-scale data platforms powering AI and enterprise intelligence Solve complex distributed systems and big data engineering challenges High ownership in a fast-growing, Gartner-recognized AI startup Work closely with strong engineering, AI/ML, and product leadership Opportunity to scale infrastructure supporting next-generation supply chain intelligence systems Apply on Kit Job: kitjob.in/job/4n6whq