Senior Data Engineer Opportunity

6 days ago


Coimbatore, Tamil Nadu, India beBeeDataEngineering Full time ₹ 20,00,000 - ₹ 30,00,000

Job Overview

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As a Data Engineering Professional, you will design, develop, and maintain high-performance data pipelines using Apache Kafka and Apache Flink. Your role involves building scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.

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Key Responsibilities include:

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  • Designing, developing, and maintaining high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.">
  • Building scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.">
  • Implementing and managing Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.">
  • Collaborating with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.">
  • Optimizing data storage and retrieval strategies for large-scale structured and unstructured datasets.">
  • Developing data transformation logic and integrating data from various internal and external sources into data lakes and warehouses.">
  • Monitoring, troubleshooting, and enhancing performance of data systems in a cloud-native, fast-evolving production setup.">
  • Ensuring adherence to data governance, privacy, and security standards across all data handling activities.">
  • Documenting data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.">
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Required Skills and Qualifications

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The ideal candidate should have:

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  • Extensive experience in building data pipelines and streaming applications using Apache Kafka and Apache Flink.">
  • Strong experience in ETL development, data modeling, and managing data in large-scale environments.">
  • Proficient in AWS services including SageMaker, S3, Glue, Lambda, and hands-on expertise with MLOps best practices, including model versioning, monitoring, and CI/CD for ML pipelines.">
  • Proficiency in Python and SQL; experience with Java is a plus for streaming jobs.">
  • Deep understanding of cloud infrastructure automation using Terraform or similar IaC tools.">
  • Excellent problem-solving skills with the ability to troubleshoot data processing and deployment issues.">
  • Experience in fast-paced, agile development environments with frequent delivery cycles.">
  • Strong communication and collaboration skills to work effectively across cross-functional teams.">
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