Accuris Jobs

Data Engineer

Accuris

Data Engineer

Posted 2 Hours Ago

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Bengaluru, Bengaluru Urban, Karnataka, IND

In-Office

Senior level

Information Technology • Machine Learning • Software • Conversational AI • Generative AI • Manufacturing

Powering the Engineers who Power the World

The Role

Designs and owns production ETL/ELT pipelines, medallion architectures, data transformations, validation, monitoring, lineage, and orchestration. Builds GenAI and RAG services, REST APIs, and scalable backend capabilities using Spark and Databricks. Improves retrieval quality, system reliability, observability, data modeling, and performance while contributing to architecture decisions and frontend integrations.

Summary Generated by Built In

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 strong 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 API gateways and microservices architecture.

Experience with CI/CD pipelines and containerization (Docker).

Experience with evaluation frameworks for GenAI systems. Knowledge of cost optimization in cloud-based data platforms.

Experience with RAG systems

Contribute to architecture decisions around AI services and integration patterns.

Tech Stack
Python, SQL, PySpark, Databricks, Delta Lake, orchestration tools, REST APIs (FastAPI), vector search systems, LLM APIs, Git, CI/CD, monitoring/logging, basic frontend frameworks.
Success Looks Like

You independently design and ship production-grade pipelines.

You improve RAG quality through measurable retrieval and prompt improvements.

You build backend services that are scalable, observable, and secure.

You reduce data defects through better modeling and validation practices.

You proactively identify foundational gaps and address them before feature work scales.

Experience That Stands Out

Built and maintained a multi-layer medallion architecture at scale.

Designed and deployed a production RAG system with measurable evaluation.

Built backend APIs serving AI/data features consumed by frontend apps.

Improved system performance through Spark optimization or query tuning.

Contributed to cross-team architectural improvements.

Skills Required

4-6 years of relevant industry experience in data engineering or backend engineering
Strong Python skills
Advanced SQL skills
Hands-on Spark and 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, and vector search
Experience building and deploying REST APIs
Understanding of system design fundamentals, including scalability, reliability, and trade-offs
Frontend exposure with React, Angular, or similar frameworks
Experience with API gateways and microservices architecture
Experience with CI/CD pipelines and Docker containerization
Experience with GenAI evaluation frameworks
Knowledge of cloud-based data platform cost optimization

What the Team is Saying

Accuris Compensation & Benefits Highlights

Retirement Support — A 401(k) with a 100% match on the first 4% of pay plus a 2% non‑elective company contribution and immediate vesting is explicitly described and characterized as above‑average. This formula strengthens long‑term savings from day one.
Healthcare Strength — Medical, dental, and vision coverage are publicly listed alongside HSA/FSA options and mental‑health/EAP resources. Core health coverage breadth is consistently highlighted across employer and third‑party profiles.
Leave & Time Off Breadth — Flexible/unlimited PTO, paid holidays, and paid parental/family medical leave are included. This breadth signals strong support for time‑away needs.

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The Company

HQ: Denver, CO

1,000 Employees

Year Founded: 2023

What We Do

Accuris gives engineers trusted answers, not just access. Our Engineering Intelligence platform combines verified data, actionable insights, and purpose-built workflows — so technical and business leaders can move faster, reduce risk, and make decisions they can defend.

Why Work With Us

We are a global team that combines the stability and expertise of an established company with the drive and ambition to keep building. We move fast, challenge assumptions, and back people who take initiative. If you act before you're asked, learn as you go, and want your work to matter — you'll fit right in.