Lead/StaffDataEngineer-DataPlatform

**Company:** Apna **Team:** Data Platform / Engineering **Location:** Bangalore **Experience** : 5-7 Years of Experience **Why Join Apna** At Apna, data is central to how we build products, understand users, improve employer outcomes, power recommendations, and scale decision-making. This role gives you the opportunity to build the backbone of Apna’s data platform and influence how data is used across the company. You will work on real-world, high-scale problems across jobs, users, employers, communities, matching, growth, and AI-driven systems. **About the Role** Apna is looking for a **Lead / Staff Data Engineer** to build and scale our core data platform. This role will work on large-scale data pipelines, lakehouse architecture, query platforms, workflow orchestration, and data reliability systems that power analytics, product intelligence, machine learning, business dashboards, experimentation, and operational decision-making across Apna. We are looking for someone who can think deeply about **data architecture** , design reliable pipelines, improve data quality, and help build a platform that can scale with Apna’s growth. **What You’ll Own:** You will be responsible for designing, building, and operating critical parts of Apna’s data platform, including: * Building scalable batch and near-real-time data pipelines across product, business, growth, and ML use cases. * Designing and improving our lakehouse architecture using technologies like**Apache Hudi**. * Working with query engines such as**Presto / Trino** for large-scale analytical workloads. * Building and maintaining orchestration workflows using**Apache Airflow**. * Creating reusable data models, curated datasets, and reliable data marts for analytics and product teams. * Improving data platform reliability, observability, SLA tracking, lineage, and data quality checks. * Optimizing storage, compute, query performance, and pipeline costs. * Partnering with product, analytics, ML, and backend engineering