Manager - Business Intelligence Engineering (Noida)

Manager - Business Intelligence Engineering (Noida)

10 Aug
|
Dataflow
|
Noida

10 Aug

Dataflow

Noida

We are Hiring: Manager BI & Analytics Engineering

Location: Noida, India (Full-Time | On-Site)

Experience: 10 to 12 Years

Department: Engineering / BI & Analytics

Are you a hands-on technical leader who thrives at the intersection of Full-Stack Engineering, Data Architecture, and AWS Cloud Infrastructure?

At DataFlow Group, we are expanding our engineering capability and looking for a Manager – BI & Analytics Engineering to lead, architect, and scale our data-product surface in Noida.

This is a hands-on builder role (75% technical / 25% people & delivery management) designed for an engineering leader who loves writing clean code, architecting scalable data systems, and mentoring high-performing teams.

Key Responsibilities

Technical Leadership & System Design: Architect and build robust full-stack applications and serverless ETL pipelines using React.js (TypeScript), Python (FastAPI/Flask/Django), and AWS Glue.

Data & API Engineering: Design high-performance RESTful/GraphQL APIs and build data visualization layers on top of enterprise warehouses, SQL, and NoSQL databases.

Team & People Management: Manage, coach, and grow a team of 4–7 developers, BI engineers, and analysts (sprint planning, 1-on-1s, technical growth opportunities).

Delivery & Governance:



Champion modern engineering best practices—CI/CD pipelines, containerization (Docker), data observability, line-of-sight governance, and root-cause analysis.

AI & Modern Tooling Advocate: Guide the team in leveraging AI-powered IDEs and workflows (Cursor, Copilot, Kiro) to drive productivity and maintain elite code standards.

What We Are Looking For

Total Experience: 10–12+ years in software engineering, data engineering, or analytics.

Frontend Mastery: Deep, current hands-on expertise with React.js, TypeScript, ES6+, and performance optimization.

Backend Proficiency: Strong Python background (FastAPI, Flask, or Django) alongside data manipulation libraries (Pandas, NumPy).

Data & Cloud Stack: Solid experience with AWS Glue, Advanced SQL, DynamoDB, Athena, S3, Lambda, and enterprise data warehousing/dimensional modeling (Star/Snowflake schemas).

DevOps & Agile: Familiarity with Git hygiene, Docker, CI/CD deployment pipelines, and agile delivery frameworks.

Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a quantitative field.

Interested or know someone who would be a great fit?

Apply directly on- [email protected]

📌 Manager - Business Intelligence Engineering (Noida)
🏢 Dataflow
📍 Noida

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