Senior Data Engineer

We are seeking a Senior Data Engineer and Visualization Expert to join our team in Indore. In this role, you will be a key player in transforming raw data from our inspection systems into actionable insights. You\u2019ll work on understanding data related to defect identification, machine performance, efficiency, and productivity. By designing robust data models, implementing advanced analytics, and creating visualizations, you\u2019ll enhance the overall value of our systems. This is a full-time, on-site role with opportunities to shape the future of intelligent quality inspection in industrial processes.

Key Responsibilities :

-Data Engineering & Modeling: Design, build, and optimize data pipelines for processing and analyzing large datasets. Develop data models to support reporting, visualization, and further analysis of system-generated information on defects, machine performance, and operational efficiency.

-Data Analytics & Insights: Use statistical and analytical skills to interpret data, identify trends, and provide actionable insights that drive improvements in quality, productivity, and machine performance.

-Data Visualization: Create interactive and insightful visualizations that simplify complex datasets for end-users, utilizing modern visualization tools to ensure clear and accessible data representation.

-Scripting & Automation: Write Python scripts for data extraction, transformation, and loading (ETL) processes, ensuring data accuracy and consistency across our systems.

-Machine Learning Support: Collaborate with the AI team to incorporate machine learning models that enhance defect detection, pattern recognition, and predictive maintenance capabilities.

-Big Query Expertise: Leverage Google Big Query for querying and analyzing large volumes of data, optimizing query performance, and designing data schemas for efficient data retrieval.

Requirements

• -Education: Bachelor\u2019s or Master\u2019s degree in Computer Science, Engineering, Data Science, or a related field.
  
• -Experience: 3-5 years of experience as a Data Engineer or in a similar role, preferably in an AI-driven or industrial automation environment.
  
  
  

  *Technical Skills:
  

  
  

  • Proficiency in Python and SQL for data manipulation, scripting, and query optimization.
    
  • Hands-on experience with data engineering techniques, including data modeling, ETL processes, and data warehousing.
    
  • Familiarity with Google Big Query or similar tools for handling large datasets.
    
  • Strong knowledge of data visualization tools (e.g., Tableau, Power BI, or equivalent) to create clear, impactful dashboards and reports.
    
  • Experience working with machine learning and AI technologies to integrate data-driven solutions.
    
  • Analytical Abilities: Strong analytical and problem-solving skills with a focus on generating actionable insights from complex datasets.
    
  • Collaboration: Ability to work effectively in cross-functional teams, particularly with data scientists, software engineers, and quality assurance professionals.
    
    
    
    Benefits

    • Opportunity to work in a cutting-edge field at the intersection of AI, data engineering, and industrial automation.
      
    • Collaborative, innovation-focused environment.
      
    • Competitive salary and growth opportunities.
      
      
      
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