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Lead Data Engineer @ Infogain

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 Lead Data Engineer

Job Description

  • 8+ years of experience in data engineering, with a focus on scalable architecture design.
  • Strong proficiency in Python, PySpark, Python-based UI libraries and Gradio or Streamlit.
  • Strong proficiency in Python, especially in Pandas and NumPy.
  • Strong proficiency in Databricks environment and Native Apps
  • Hands-on experience with Databricks (notebooks, jobs, lakehouse architecture).
  • Experience building charts and dashboards using Matplotlib, Seaborn, or Plotly.
  • Experience in python webapp and rest API development
  • Good to have understanding of SAS (PROC steps, data handling, stored processes).
  • Understanding of data structures, statistical methods, and basic analytical modeling.
  • Good understanding of cloud data architecture and deployment best practices.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Lead
Employement Type: Full time

Contact Details:

Company: Infogain
Location(s): Kochi

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Keyskills:   Azure Data Factory Pyspark Data Bricks Data Engineering Python

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Infogain

A global digital engineering company delivering technology solutions that accelerate business outcomes. It specializes in cloud, data, AI, and experience-led transformation for enterprises across industries.