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Senior Data Engineer - AI/ML

icon building Company : Gsstech Group
icon briefcase Job Type : Full Time

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Job Description - Senior Data Engineer - AI/ML

Description

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, modern 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.



Requirements

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
  • Strong programming skills in Python/Scala/Java
  • Experience with distributed data processing frameworks (Spark, Hive, etc.)
  • Good 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
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