Senior Data Engineer -AWS

Neurealm Company; Pune District; Hybride; INR 2 500 000 - 4 000 000; Plein temps

Résumé du poste

Neurealm Company in Pune, India is seeking a Backend + Data Engineer with 6–8 years of experience in data engineering and backend development. You will design and optimize large-scale data pipelines using Apache Spark and Kafka, and develop scalable backend services in Python.

The role involves cloud work on AWS or GCP, ensuring reliability and performance in distributed systems. Hybrid work arrangement in Pune, India, collaborating with a high-performing team and participating in code reviews

Qualifications

• 6–8 years of relevant experience in Data Engineering and Backend Development.
• Proficiency with Apache Spark (Python/Scala).
• Strong experience with Apache Kafka and real-time data processing.
• Cloud experience on AWS or GCP.
• Solid understanding of distributed systems, data storage formats, and stream/batch processing.

Responsabilités

• Design, build, and optimize large-scale data pipelines using Apache Spark (Python/Scala) and Apache Kafka.
• Develop and deploy scalable backend services and APIs using Python.
• Work on cloud infrastructure and services on AWS or GCP.
• Ensure high availability, scalability, and performance of data and backend systems.
• Participate in code reviews, system design discussions, and production support.

Connaissances

Data engineering

Backend development

Apache Spark

Apache Kafka

Cloud experience AWS/GCP

Distributed systems

Outils

Apache Spark

Apache Kafka

Python

AWS

GCP

Description du poste

# Job Description**Back** ## Senior Data Engineer -AWS30-12-2025 10:22:54Job\\_3033515 - 10 years* Pune, Maharashtra, India (PUN)### Job Title: Backend + Data Engineer**Location:** Pune, India **Experience:**5–9 Years **Work Mode:**Hybrid**About the Role:** We are seeking an experienced **Backend+ Data Engineer** with a strong foundation in distributed data processing andbackend service development. This hybrid role blends the best of data engineering and backend development,ideal for professionals who enjoy building scalable systems, optimizing datapipelines, and working with cutting-edge cloud-native technologies.You'll be part of a high-performing teamresponsible for building and maintaining large-scale data platforms and backendservices that power our analytics and application ecosystem.**KeyResponsibilities:*** Design, build, and optimize large-scale **data pipelines** using **Apache Spark** (Python/Scala) and **Apache Kafka**.* Develop and deploy scalable backend services and APIs using **Python*** Work on cloud infrastructure and services on **AWS** or **GCP**.* Ensure high availability, scalability, and performance of data and backend systems.* Participate in code reviews, system design discussions, and production support.**Primary Skills(Must Have):*** 6–8 years of relevant experience in **Data Engineering** and **Backend Development*** Proficiency with **Apache Spark** (using Python or Scala)* Strong experience with **Apache Kafka** and real-time data processing* Cloud experience on **AWS** or **GCP*** Solid understanding of distributed systems, data storage formats, and stream/batch processing**Secondary Skills(Nice to Have):*** Backend development experience using **Python*** Experience with RESTful API development and microservices architecture* Familiarity with CI/CD tools, logging, and monitoring frameworks | | || --- | --- || | |Apply Now