Senior Data Engineer

2 weeks ago

Coimbatore, India MPM Consulting Full time

Data Engineer

At MPM we are searching for a highly skilled Data Engineers with a minimum of 5 years of experience in data engineering, specifically within the Life Science/ Pharma domain. 


PRIMARY RESPONSIBILITIES:


  • Designing, developing, and maintaining data pipelines and systems in Azure Cloud environments, with a strong emphasis on Azure Data Lake, Azure Data Factory, and Microservices architecture.
  • Develop KPIs using sales data, activity data, omni data, etc, for various product specifications based on use cases such as omni channel measurement and enhanced segmentation.
  • Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms.
  • Implement Machine Learning models and algorithms using Pyspark, and other relevant tools.
  • Manage Azure DevOps, CI/CD pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment.
  • Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations.
  • Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue.
  • Create engineering prototypes for new market rollouts and refactor/modularize LLM model code to fit into the client's engineering frameworks.
  • Run tests to assess KPI performance and troubleshoot and address problems with deployed models to improve user experience.


MANDATORY SKILLS:

  • High proficiency in Azure Cloud environments, Azure Data Lake, Azure Data Factory, and Microservices architecture.
  • Experience in Symphony Lake Datasets, IQVIA Datasets, and other large local datasets. 
  • Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI.
  • Experience in managing activity data would be Veeva CRM
  • Deep knowledge of Azure DevOps, Extensive experience in designing and implementing CI/CD processes. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS)
  • Minimum 1-year hands-on work experience using GSK frameworks, MLOps, MLM, common data models, and different data layers. 
  • Global sales data experience would be a big plus.
  • Solid understanding of data modeling, data warehousing, data governance, and data cataloging tools (Collibra, Talend Data Catalogue).


Background & Requirements: 

  • Bachelor’s Degree or higher in Computer Science or a related field.
  • Experience in the Life-sciences/ Pharma domain, knowledge of Commercial Processes and Data sets. 
  • Minimum 1 year of pharma domain experience. 


What we offer:


  • 12 month contract with possibility to renew
  • Payment in USD
  • Hybrid Office Attendance

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