Senior Data Engineer
3 weeks ago
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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