Company Name

Capgemini Technology Services India Limited ( Bangalore )

Job Description

• Your Role
  • Solution Architecture: Design and implement data science architectures that support advanced analytics, AI/ML models, and business intelligence.
  • Data Engineering & ETL: Develop robust ETL pipelines using PySpark, Python, and modern frameworks to process large-scale datasets.
  • Cloud Integration: Architect and deploy solutions on AWS, Azure, or Google Cloud leveraging services like Azure Data Factory, Databricks, S3, BigQuery, etc.
  • Data Analysis & Modeling: Collaborate with data scientists to ensure infrastructure supports predictive modeling, statistical analysis, and machine learning workflows.
  • CI/CD & Automation: Implement CI/CD pipelines for data workflows and ML model deployment.
  • Team Leadership: Lead and mentor a team of data engineers and data scientists, ensuring best practices in coding, architecture, and project delivery.
  • Performance Optimization: Ensure high availability, scalability, and performance of data platforms.
  • Stakeholder Collaboration: Work closely with business and technical teams to translate requirements into data-driven solutions.
  Your Profile
  • Programming: Python, PySpark, SQL
  • Data Science & Analytics: Strong understanding of ML workflows, data preprocessing, and statistical modeling.
  • Cloud Platforms: AWS, Azure, GCP (expertise in at least one)
  • ETL Tools: Azure Data Factory, AWS Glue, or equivalent
  • CI/CD: Jenkins, GitHub Actions, or similar
  • Big Data Technologies: Spark, Hadoop ecosystem
  • Architecture: Experience designing scalable data platforms and solutions
  • Leadership: Proven ability to lead cross-functional teams and deliver complex projects

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Education Summary

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