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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

Infogain is a Silicon Valley headquartered company with software platform engineering and deep domain expertise in the travel, retail, insurance and high technology industries. We accelerate the delivery of digital customer engagement systems using digital technologies such as cloud, mic...