Position: Senior Data Engineer
Location:

REMOTE
Experience:

5+ years

About the Role:
We are looking for a

Senior Data Engineer

with solid hands-on experience in

Apache Spark, Scala, and Java

, coupled with a solid understanding of

microservices architecture . The ideal candidate will be a self-starter, able to design and implement scalable data pipelines and services in a distributed setting.

Key Responsibilities:
Design, build, and optimize scalable data pipelines

using Apache Spark .
Develop and maintain microservices in Scala/Java.
Collaborate with cross-functional teams to define data requirements and delivery strategies.
Ensure high availability, performance, and security of data infrastructure.




Implement caching strategies using Redis or similar distributed caching tools.

Requirements:
5+ years of hands-on experience in data engineering.
Deep expertise in

Apache Spark ,

Scala , and

Java .
Experience designing and developing

microservices-based architectures .
Robust understanding of distributed systems and parallel processing.
Working knowledge of

Redis

or equivalent distributed caching systems.
Familiarity with CI/CD practices and cloud platforms is a plus.

Nice to Have:
Experience with Kubernetes, Docker, or cloud-native environments.
Exposure to data governance and quality frameworks.

📌 Senior Data Engineer Mumbai (India)
🏢 ATF Labs
📍 India