Senior Data Engineer

5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

🚀 We’re Hiring: ML Ops / Data Engineer (Minimum 5 Years Experience) 🚀

Are you a data engineering professional with at least 5 years of experience in building scalable data pipelines and deploying machine learning models? We’re looking for a talented ML Ops / Data Engineer to join our team in Noida!

🔍 What You’ll Do:

  • Design and maintain robust data pipelines for large-scale datasets
  • Collaborate with data scientists to deploy and monitor ML models in production
  • Develop and optimize ETL processes using AWS Glue, PySpark, and SQL
  • Automate ML workflows using tools like Kubeflow, MLflow, or TFX
  • Ensure model versioning, logging, and performance tracking
  • Work with cloud platforms (AWS preferred) and modern data storage solutions
  • Ensure data security, integrity, and compliance

🛠️ Must-Have Skills:

  • Minimum 5 years of experience in data engineering or ML Ops
  • Proficiency in AWS Services (Lambda, EventBridge, Fargate)
  • Strong knowledge of SQL, Docker, and Kubernetes
  • Experience with AWS Glue, PySpark, and containerized environments

📍 Location: Noida

💼 Employment Type: Permanent

🔑 Primary Skill: AWS Cloud, ML Ops, Data Engineering

If you're ready to take your career to the next level and work on cutting-edge ML infrastructure, we’d love to connect!

#Hiring #MLOps #DataEngineering #AWSJobs #ETL #MachineLearning #NoidaJobs #TechCareers #DataPipelines #5YearsExperience

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