Senior Associate 2 – Data Engineer | Location: Bangalore, IN
Experience: 4–6 years relevant industry experience
Why Work for Accuris
Accuris works on high-value, real-world data problems where reliability and correctness matter. You’ll build production-grade data and GenAI systems that power decision-support products used by global customers. This is not experimental AI — this is measurable, grounded, and scalable AI backed by robust data engineering.
Role Summary
You will design and own data pipelines and GenAI-driven services that transform messy enterprise data into high-quality datasets and production-ready product capabilities. This role requires robust data engineering depth, with the ability to build and integrate backend APIs and contribute to frontend integrations when needed. You will work across data, applications, and AI layers to ship scalable systems end-to-end.
What You’ll Do
Design and own ETL/ELT pipelines (batch and streaming where required).
Drive Medallion architecture design (Bronze, Silver, Gold) with clear data contracts and quality checks.
Build scalable transformations using Spark/Databricks with performance tuning.
Implement data validation frameworks, monitoring, lineage, and observability.
Handle schema evolution, incremental loads, idempotency, and orchestration patterns.
Collaborate with content and application teams to define reliable data models.
Must Have
4–6 years’ experience in Data Engineering / Backend Engineering.
Strong Python and advanced SQL skills.
Hands-on Spark/Databricks experience with performance optimization.
Deep understanding of Medallion architecture and production data systems.
Experience building reliable data pipelines with testing and monitoring. Practical understanding of LLMs, RAG systems, embeddings, vector search. Experience building and deploying REST APIs. Understanding of system design basics (scalability, reliability, trade-offs).
Nice to Have
Frontend exposure (React/Angular or similar).
Experience with
📌 Data Engineer (Bengaluru)
🏢 Accuris
📍 Bengaluru
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