3 - 5 years

6 - 12 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities

  • Develop, optimize, and maintain

    Python-based scripts

    for data processing, automation, and analytics workflows.
  • Build and evaluate

    Machine Learning models

    (supervised & unsupervised) using libraries such as scikit-learn, Pandas, NumPy.
  • Collaborate with data engineering teams to design and implement

    end-to-end data pipelines

    .
  • Work with

    Azure Data Factory (ADF)

    to orchestrate ETL workflows and data movement.
  • Utilize

    Azure Databricks

    (PySpark, notebooks) for large-scale data processing and ML model execution.
  • Deploy data models and solutions on

    Azure and AWS environments

    .
  • Analyze large datasets to derive insights and support business decisions.
  • Document solutions, workflows, and adhere to coding and cloud best practices.
  • Troubleshoot performance issues and ensure scalability and reliability of data systems.

Required Skills & Experience

  • 3 - 4 years

    of experience as a Data Scientist or in a similar role.
  • Strong proficiency in

    Python

    , including data manipulation, scripting, and ML libraries.
  • Good understanding of

    Machine Learning concepts

    , model evaluation, and feature engineering.
  • Hands-on experience with

    Azure services

    :
    • Azure Data Factory
    • Azure Databricks (PySpark, MLflow is a plus)
  • Exposure to

    AWS cloud services

    (S3, Lambda, EMR, SageMaker any is a plus).
  • Experience working with SQL and NoSQL databases.
  • Knowledge of version control (Git) and CI/CD basics.
  • Strong problem-solving skills and ability to work in cross-functional teams.

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