๐๐ฏ๐ผ๐๐ ๐๐ต๐ฒ ๐ท๐ผ๐ฏ
This role is for one of our client companies โ a VC-backed Logistics startup that has raised $23.8M USD in funding.
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐: Up to 60LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
๐ ๐ช๐ต๐ฎ๐ ๐ช๐ฒ'๐ฟ๐ฒ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด
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.
๐ ๐๐ฒ๐ฎ๐ฑ ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ (4+ ๐ฌ๐ฒ๐ฎ๐ฟ๐ ๐ผ๐ณ ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ)
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.
๐งฉ ๐ช๐ต๐ฎ๐ ๐ฌ๐ผ๐'๐น๐น ๐๐ผ
- 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.
โ ๐ฌ๐ผ๐'๐ฟ๐ฒ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐ ๐๐ณ ๐ฌ๐ผ๐
- 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.
โจ ๐ช๐ต๐ ๐๐ผ๐ถ๐ป ๐จ๐?
- 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.