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 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.
- Strong 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.
Pay: From ₹2,500,000.00 per year
Work Location: Remote
📌 Senior Data Engineer (India)
🏢 ATF Labs
📍 India
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