We are looking for a highly skilled Senior Data Engineer to join our Data Engineering chapter within the Technology Platform domain. The ideal candidate will have strong expertise in real-time data streaming, contemporary data platforms, and AI/ML operationalization (AIOps/MLOps/LLMOps).
You will be responsible for designing, building, and optimizing scalable data pipelines and enabling advanced analytics and AI-driven solutions.
Key Responsibilities
Design and implement real-time data streaming pipelines using Kafka and related technologies
Build and maintain scalable data engineering solutions on Cloudera platform
Develop and optimize ETL/ELT pipelines for large-scale structured and unstructured data
Collaborate with data scientists to deploy and manage ML models (MLOps/LLMOps frameworks)
Implement and manage CI/CD pipelines for data and ML workflows
Work with OpenShift/Kubernetes for containerized deployments
Ensure data quality, governance, and security best practices
Monitor, troubleshoot, and optimize data workflows and infrastructure
Partner with cross-functional teams including product,
engineering, and analytics
Required Skills & Experience
6+ years of experience in Data Engineering
Strong hands-on experience with Apache Kafka (Real-Time Streaming - RTS)
Expertise in Cloudera Data Platform (CDP) or similar big data ecosystems
Experience with CI/CD pipelines (Jenkins, GitLab, etc.)
Hands-on experience with OpenShift/Kubernetes
Robust programming skills in Python/Scala/Java
Experience with distributed data processing frameworks (Spark, Hive, etc.)
Valuable understanding of data modeling and data warehousing concepts
Preferred Skills
Experience in AIOps, MLOps, or LLMOps
Exposure to AI/ML lifecycle management and deployment
Knowledge of cloud platforms (AWS/Azure/GCP) is a plus
Experience in banking or financial services domain
Soft Skills
Strong problem-solving and analytical thinking
Excellent communication and stakeholder management
Ability to work in agile and fast-paced environments
📌 Senior Data Engineer Ai/ml Bengaluru (India)
🏢 Recognized
📍 India
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