GrepJob
17 days ago
Bengaluru, IndiaMid Level / Senior
H1B Sponsor

Responsibilities

  • Build high-performance data pipelines using Spark, Flink, and Kafka.
  • Develop low-latency APIs and services for thousands of concurrent users.
  • Optimize time-series and operational data storage and retrieval.
  • Engineer distributed processing solutions for real-time streaming.
  • Design cost-efficient data lake architectures using modern formats.
  • Optimize OLAP query performance across various systems.
  • Build fault-tolerant, highly-available systems with circuit breakers.
  • Drive technical innovation through research and open-source contributions.
  • Collaborate with product and architecture teams to solve complex data problems.

Requirements

  • 3–6 years of experience in distributed data systems or backend engineering.
  • Strong programming skills in Scala, Java, or Python.
  • Experience with cloud platforms like AWS, GCP, or Azure.
  • Familiarity with large-scale data and OLAP systems is a plus.
  • Contributions to open-source or experience in industrial data platforms is advantageous.

Benefits

  • Opportunity to build world-class Industrial DataOps systems.
  • Fast-growing, high-ownership environment in Cognite’s India R&D Center.
  • Work on cutting-edge distributed systems and industrial-scale challenges.
  • Culture that rewards innovation, autonomy, and continuous learning.
  • Competitive compensation, equity, and benefits aligned with global standards.

Tech Stack

Apache FlinkApache KafkaApache SparkAWSAzureClickHouseGoogle Cloud PlatformGrafanagRPCJavaPrometheusPythonRedisScala

Categories

AI & MLBackendData Engineering