Position: Senior Data Engineer Location:

REMOTE Experience:

5+ years

About the Role: We are looking for a

Senior Data Engineer

with strong 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 environment.

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 . Solid 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)
🏢 ATF LABS
📍 Mumbai