Data Engineer – MEAN Stack

3 days ago

Pune, Maharashtra, India Codvo Full time

Job Description:

Data Engineer – MEAN stack

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

Role Overview 

We are looking for a highly skilled Full Stack Data Engineer with expertise in MEAN Stack to design, develop, and optimize end-to-end applications, and analytics solutions. This role combines strong cloud platform expertise, and software engineering skills to deliver scalable, production-grade solutions.

Key Responsibilities 

  • Design and develop applications on MEAN Stack.
  • Mentor and assist team members towards common objective
  • Implement CI/CD pipelines for MEAN Stack workflows using GitHub Actions, Cloud DevOps, or similar.
  • Build and maintain APIs, dashboards, or applications that consume processed data (full-stack aspect).
  • Collaborate with data scientists, analysts, and business stakeholders to deliver solutions.
  • Ensure data quality, lineage, governance, and security compliance.
  • Deploy solutions across cloud environments (Azure/AWS/GCP).

Required Skills & Qualifications 

Core MEAN Stack Skills:

Strong in MEAN Stack SQL.

  • Front End (AngularJS), Backend (NodeJS, Express.JS), HTML, CSS, Bootstrap.
  • Data Layer (Mongo DB/Postgres/MySQL), Cloud (Azure) Programming language - Java Script, Type Script
  • Framework/design patterns - MVC/MVVM.

Programming & Full Stack:

  • Python (mandatory), SQL (expert).
  • Exposure to Java/Scala (for Spark jobs).
  • Knowledge of APIs, microservices (FastAPI/Flask), or basic front-end (React/Angular) is a plus.

DevOps & CI/CD:

  • Git, CI/CD tools (GitHub Actions, DevOps, Jenkins).
  • Containerization (Docker, Kubernetes is a plus).

Data Engineering Foundations:

  • Data modeling (OLTP/OLAP).
  • Batch & streaming data processing (Kafka, Event Hub, Kinesis).
  • Data governance & compliance (Unity Catalog, Lakehouse security).

Nice-to-Have 

  • Experience with machine learning pipelines (MLflow, Feature Store).
  • Knowledge of data visualization tools (Power BI, Tableau, Looker).
  • Exposure to Graph databases (Neo4j) or RAG/LLM pipelines.

Qualifications 

  • Bachelor's or Master's in Computer Science, Data Engineering, or related field.
  • 4–7 years of experience in data engineering, with deep expertise in MEAN Stack.

Soft Skills 

  • Strong problem-solving and analytical skills.
  • Ability to work in fusion teams (business + engineering + AI/ML).
  • Clear communication and documentation abilities.

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