Data Engineer – Real Time Streaming

Location: Bengaluru
Experience: 5+ Years
Work Mode: Hybrid (3 Days Onsite)

Role Overview:

We are seeking skilled Data Engineer – Real Time Streaming to design, build, and optimize enterprise-scale streaming data platforms. The ideal candidate will have strong expertise in Apache Kafka, Flink/Beam, PySpark Streaming, and distributed data processing systems.

This role involves building scalable real-time pipelines, enabling enterprise data modernization, and supporting cloud-native and containerized data platforms.

Key Responsibilities:

Real-Time Streaming & Data Engineering

  • Design and develop real-time streaming pipelines and enterprise data solutions.
  • Implement and support Apache Kafka / Confluent Kafka platforms and integrations.
  • Develop streaming applications using Apache Flink, Apache Beam, and PySpark Streaming.
  • Optimize streaming applications for performance, scalability, and reliability.

Data Architecture & Warehousing

  • Design end-to-end data flow architectures across enterprise systems.
  • Work on Data Vault, Data Lake, Data Warehouse, and Data Mart implementations.
  • Support enterprise data modeling including conceptual, logical, and physical data models.
  • Manage metadata, data lineage, governance, and data quality initiatives.

Platform & Infrastructure

  • Support deployments in Cloudera Data Platform (CDP) and Kubernetes environments.
  • Recommend suitable relational and non-relational database solutions.
  • Contribute to enterprise data platform modernization initiatives.

Required Skills:

  • Strong expertise in Apache Kafka / Confluent Kafka
  • Experience with Apache Flink or Apache Beam
  • Strong hands-on experience in PySpark Streaming / Spark Streaming
  • Knowledge of Python or Java programming
  • Experience with Cloudera CDP and Kubernetes
  • Understanding of data warehousing and distributed systems

📩 Apply Now: [email protected]

Job Application