Data Engineering Leadership Role
2 weeks ago
The role of a Senior Data Engineer involves designing, building, and maintaining efficient data code. This includes ensuring high-performance applications and addressing technical issues effectively.
- At least 3 years of experience with Python programming, including creating data summarizations and analyzing trends using Pandas/PySpark libraries.
- Experience in patient and/or payer data management projects.
- Advanced analytical and problem-solving skills.
- Understanding of business processes and pharmaceutical market data.
- Knowledge in SQL queries, Snowflake, Databricks, Azure blob storage, and AWS.
Key Responsibilities:
Design and implement scalable data systems, manage large datasets, and maintain code quality.
Collaborate with cross-functional teams to drive data-driven decision-making and ensure data integrity.
Develop and implement solutions to improve data efficiency, accuracy, and reliability.
Required Skills and Qualifications:
Strong Python programming skills, data engineering expertise, and experience working with cloud-based platforms.
Excellent analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
Benefits:
Competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.
Others:
Fluency in English (spoken and written) is required, and proficiency in other languages is an asset.
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