Manager - Business Intelligence Engineering

Dataflow Group
Posted on
Dataflow Group logo

Experience
10 - 14 yrs
Job Location
Noida, India
Vacancy
1
Designation
Manager - Business Intelligence
Job Type
ONSITE

Job Description

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 career growth).


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- Kartikkapoor@dataflowgroup.com




No Referrers Available

There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.