2 - 5 years

4 - 7 Lacs

Posted:Just now| Platform: Naukri logo

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Job Description

":" About the Role
We are looking for a skilled Data Engineer to join our team and play a key role in building and maintaining robust data pipelines that power AI-driven solutions. The ideal candidate will have strong expertise in data processing, ETL workflows, and real-time streaming, ensuring high-quality, reliable data for AI agents.

Key Responsibilities
  • Clean, organize, and prepare data for AI agents to consume.
  • Design, develop, and maintain ETL processes to ensure smooth data flow.
  • Generate reports on data quality and implement continuous improvements.
  • Identify and integrate structured, unstructured, and streaming data sources relevant to AI tasks.
  • Apply data cleaning, labeling, and normalization techniques.
  • Implement validation, deduplication, and error-handling mechanisms for data integrity.
  • Collaborate with cross-functional teams to ensure data availability and reliability.

    Requirements Required Skills & Qualifications
    • Programming: Proficiency in Python and SQL.
    • Big Data Frameworks: Strong knowledge of Apache Spark and Apache Flink.
    • Streaming Platforms: Experience with Apache Kafka for real-time data processing.
    • Workflow Orchestration: Hands-on experience with Apache Airflow.
    • Data Handling: Familiarity with both structured and unstructured data.
    • Data Quality: Experience implementing data quality checks for AI-driven systems.
    • Cloud Platforms: Working experience with AWS, GCP, or Azure.
      Preferred Qualifications
      • Experience with containerization tools like Docker and Kubernetes.
      • Knowledge of data lake and data warehouse architectures.
      • Exposure to AI/ML data pipelines.

        ","Work_Experience":"2-5 years","Job_Type":"Full time","Job_Opening_Name":"Data Engineer" , "State":"Maharashtra" , "Country":"India" , "Zip_Code":"411001" , "id":"86180000008188699" , "Publish":true , "Date_Opened":"2025-08-26" , "Keep_on_Career_Site":true}]);

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