Lead Data Engineer (Up to 60LPA)

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯
This role is for one of our client companies — a VC-backed Logistics startup that has raised $23.8M USD in funding.
𝗦𝗮𝗹𝗮𝗿𝘆: Up to 60LPA
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.
🚀 𝗟𝗲𝗮𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (4+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)
We are seeking a hands-on Lead Data Engineer to design and scale the real-time pipelines and data infrastructure powering a high-volume mobility platform. If you thrive on owning end-to-end data systems and working with massive operational datasets, we want to hear from you.
🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼
Design, build, and maintain scalable batch and real-time data pipelines.
Develop reliable data ingestion systems across multiple databases, services, and event streams.
Build and manage data warehouses, data lakes, and storage architectures for large-scale datasets.
Design pipelines supporting CDC, streaming, incremental syncs, schema evolution, deduplication, and backfills.
Work with engineering and business teams to understand data requirements and deliver robust data solutions.
Optimize SQL queries, storage, and pipeline performance for high-volume workloads.
Implement data quality checks, monitoring, alerting, reconciliation, and observability across pipelines.
Build cost-efficient data architectures capable of processing millions of events.
✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂
Strong hands-on experience in Data Engineering and building production-grade data pipelines.
Experience working with both batch and real-time/streaming data processing.
Strong understanding of Kafka, Redpanda, CDC, and streaming architectures.
Experience with ETL/ELT pipelines, data lakes, and data warehouses.
Strong knowledge of relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and ClickHouse.
Experience with orchestration tools such as Airflow, Dagster, Prefect, or similar platforms.
✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?
Build our data foundation from scratch with complete technical ownership.
Scale logistics infrastructure to process millions of real-time shipments.
Fast-track your career alongside elite engineers in a funded startup.
Work onsite with a highly driven team solving complex physical problems.

Work arrangement
No