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Lead Product Software - Data Science Engineer

Medknow Publications
Pune4-8 LPA Posted 27 Jun 2025
FULL TIME
Spark
Power Bi
Sql
Azure
Databricks

Job Description

  • ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Lead and Manage configuration, maintenance, and support of portfolio of AI models and related products.
  • Manage model delivery to Production deployment team and coordinate model production deployments.
  • Ability to analyze complex data requirements, understand exploratory data analysis, and design solutions that meet business needs.
  • Work on analyzing data profiles, transformation, quality and security with the dev team to build and enhance data pipelines while maintaining proper quality and control around the data sets.
  • Work closely with cross-functional teams, including business analysts, data engineers, and domain experts.
  • Understand business requirements and translate them into technical solutions.
  • Understand and review the business use cases for data pipelines for the Data Lake including ingestion, transformation and storing in the Lakehouse.
  • Present architecture and solutions to executive-level.
  • MINIMUM QUALIFICATIONS
  • 5+ years of overall experience in Data Science
  • Consistent record in building data science products using modern development lifecycle methodologies: CI/CD, QA, and Agile Methodologies
  • Expert level knowledge of Python programming language, data engineering and data science ecosystem in Python. Production level Python script coding experience is must have.
  • Expert in End-to-end design and architecture of enterprise level data warehouse lakehouse/bigdata solutions, data lifecycle management, Data transformation pipelines
  • Some Experience with Dimensional modeling and data warehouse design methodologies.
  • Experience with Cloud/Infrastructure provisioning, security, and best practices with Azure data platform.
  • Experience with Azure data platform (Azure data factory, Azure data lake, Azure SQL DB, Azure DW/Synapse) or similar AWS/Google cloud-based services.
  • Experience with Spark, DataBricks, Power BI, Azure Analysis Services
  • Experience with Data integration and streaming tools like Azure stream analytics event hub.
  • Experience with working with business stakeholders, requirements use case analysis.
  • Strong communication and collaboration skills with creative problem-solving skills.
  • PREFERRED QUALIFICATIONS
  • Bachelors degree in Computer Science or equivalent work experience.
  • Experience with Agile/Scrum methodology.
  • Experience with tax and accounting domain a plus.
  • Azure Data Scientist certification a plus.

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