Senior AI Data Engineer

6 - 11 years

10 - 14 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design, develop, and maintain robust, scalable, and high-performance data pipelines using modern big data frameworks.
    Architect data ingestion and transformation workflows from diverse structured and unstructured data sources.
  • Collaborate with cross-product engineering teams to align data engineering needs with product goals.
  • Build and maintain data models and marts to support analytics, machine learning, and business intelligence.
  • Enable self-service data access through well-governed data assets and visualization tools.
  • Implement data quality checks, observability, lineage tracking, and data governance best practices.
  • Support deployment and monitoring of ML/AI models in production environments.
  • Partner with Data Scientists and Product Analysts to support model training, testing, and tuning with high-quality feature engineering.
  • Optimize cost, performance, and maintainability of data infrastructure on cloud platforms (e.g., AWS, GCP, or Azure).
    Identify and evangelize best practices for data engineering, automation, and operational excellence.
    About You
  • 6+ years of experience in data engineering, analytics engineering, or related roles in product-centric organizations.
  • Strong programming experience in Python, Scala, or Java with exposure to Spark, PySpark, or equivalent frameworks.
  • Deep understanding of ETL/ELT design patterns, batch and streaming data processing.
  • Hands-on experience with cloud-based data platforms (AWS Redshift, Google BigQuery, Snowflake, or Azure Synapse).
  • Proficient in SQL with a strong grasp of data modeling and performance tuning.
  • Experience with orchestration tools like Airflow, DBT, or Prefect.
  • Exposure to MLOps, ML pipelines, and productionizing machine learning models is a strong plus.
  • Working knowledge of data visualization tools (e.g., Looker, Tableau, Power BI) is preferred.
  • Experience in cross-functional collaboration and delivering analytics solutions for multiple product teams.

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