Azure Data Engineer with Commercial Pharma Expertise
6 days ago
Axtria is a global leader in cloud software and data analytics for the Life Sciences industry. We help Life Sciences companies transform their product commercialization journey to drive sales growth and improve healthcare outcomes for patients.
We are passionate about using technology to make a positive impact on people's lives. Our cloud-based platforms - Axtria DataMax, Axtria InsightsMax, Axtria SalesIQ, and Axtria MarketingIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations.
We are seeking a highly skilled and experienced Data Engineer to join our team. The ideal candidate will have years of recent experience in data engineering and hold a Bachelor's Degree or higher in Computer Science or a related field.
Key Responsibilities:- Design and develop data pipelines in Azure Cloud environments, leveraging Azure Data Lake, Azure Data Factory, and Microservices architecture.
- Implement scalable and efficient data processing solutions using technologies such as ServiceBus, REST API, App Service, SQL Data Warehouse, and Data Mart.
- 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 cataloguing standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue.
- Collaborate with stakeholders to develop visualization and reporting solutions using Power BI, Tableau, and front-end frameworks like React.
- 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.
- 10 years of recent experience in data engineering.
- Experience in the Life-sciences domain, knowledge of Commercial Processes and Data sets.
- Bachelor's Degree or higher in Computer Science or a related field.
- Proficiency in Azure Cloud environments, Azure Data Lake, Azure Data Factory, Microservices architecture.
- Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI.
- Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS).
- Experience with ML/OPS tools such as Azure ML, Databricks MLFlow, LLMOps.
- Familiarity with data governance, data cataloguing tools (Collibra, Talend Data Catalogue).
- Experience with visualization and reporting tools like Power BI, Tableau, and front-end frameworks such as React.
- Master's degree in computer science or a related field.
- Experience working in Agile development environments.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in a fast-paced, dynamic environment.
We are hiring for Greater Philadelphia, PA Location. U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Flexibility to travel and/or relocate within the US as per project requirements.
The exact nature of duties, level of role as well as the salary and compensation package will be commensurate with experience and salary history.
Axtria is an EEO/AA employer M/F/D/V. We offer attractive performance-based compensation packages including salary and bonus. Comprehensive benefits are available including health insurance, flexible spending accounts, and 401k with company match. Immigration sponsorship will be considered.
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