Big Data Developer

We are seeking a

Big Data Engineer

with strong hands-on experience in Spark and AWS technologies. The ideal candidate should demonstrate a deep understanding of big data concepts, programming fundamentals, and the ability to solve complex problems related to scalability, failure handling, and optimization.

Key Responsibilities :

Design, develop, and optimize big data pipelines using

Spark

on

AWS .

Implement scalable and fault-tolerant data processing solutions.

Troubleshoot and resolve performance bottlenecks in big data workflows.

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

Write clean, efficient, and well-documented code following core programming principles.

Continuously improve existing data infrastructure for better reliability and performance.

Required Skills & Experience :

Strong practical experience with

Apache Spark

and big data ecosystems.

Hands-on experience with

AWS

services relevant to big data (e.g., EMR, S3, Lambda).

Solid understanding of core programming fundamentals, including

Object-Oriented Programming (OOP)

concepts.

Proven problem-solving skills related to scaling, failure handling, and performance optimization in big data environments.

Ability to explain not just

what

technologies are used, but

why

and

how

they work.

Familiarity with common big data terms and best practices.