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4 Material+ Jobs

Full Stack Engineer - Data Modeling (4-10 yrs)

4-10 years

Full Stack Engineer - Data Modeling (4-10 yrs)

Material+

posted 4d ago

Job Description

Job Title : Full Stack Data Engineer.

Location : Gurugram, Haryana.

Experience: 4-10 Years.

Notice Period : Immediate to 30 Days.

Employment Type : Full-time.

Key Skills : Python , SQL , React and AWS Glue.

Job Overview :

We are seeking a Full Stack Data Engineer with expertise in Python, ReactJS, PostgreSQL, AWS OpenSearch, and Data Engineering fundamentals.

The ideal candidate will play a key role in designing and implementing data pipelines, integrating AI/ML models, and building frontend data visualizations.

You will work on ETL processes, API development, and cloud-based solutions using AWS Glue while ensuring seamless CI/CD deployment.

Key Responsibilities :

- Develop and maintain scalable data pipelines using AWS Glue, ETL processes, and PostgreSQL.

- Build and optimize APIs for data retrieval and transformation.

- Design and implement frontend data visualizations using ReactJS.

- Work on AI/ML model integration, ensuring efficient deployment and performance.

- Set up and manage AWS OpenSearch for data indexing and search capabilities.

- Implement CI/CD pipelines using GitHub Actions, Docker, and Kubernetes for seamless deployments.

- Collaborate with data scientists, engineers, and stakeholders to deliver scalable data solutions.

- Ensure system security, scalability, and performance optimization.

Required Skills & Qualifications :


- Strong proficiency in Python for backend and data engineering tasks.

- Hands-on experience with ReactJS for building frontend applications with data visualization.

- Expertise in PostgreSQL, including query optimization and database design.

- Experience with API development (RESTful, GraphQL).

- Knowledge of AWS OpenSearch for data indexing and search.

- Strong understanding of Data Engineering, including ETL pipelines and AWS Glue.

- Experience with AI/ML model integration within data workflows.

- Proficiency in CI/CD pipelines using GitHub Actions, Docker, and Kubernetes.

- Excellent problem-solving skills and ability to optimize system performance.

Preferred Qualifications :


- Experience with real-time data processing and streaming technologies.

- Familiarity with big data technologies (Spark, Kafka, etc.

- Understanding of cloud security best practices.

- Prior experience working in agile development environments.

Why Join Us?.

- Work on cutting-edge data-driven applications.

- Dynamic and collaborative work environment.

- Competitive salary and benefits package.

- Learning and growth opportunities in data engineering, cloud technologies, and AI/ML.


Functional Areas: Software/Testing/Networking

Read full job description

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Free Transport
Child care
Gymnasium
Cafeteria
Work From Home
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