Snowflake Data Engineer

Key Responsibilities
Software Development
Design develop and maintain applications using Python.
Write efficient optimized queries in T-SQL for complex data operations.
Build and manage data pipelines and integrations with Snowflake.
Data Engineering & Analytics
Develop scalable ETL/ELT processes for large datasets.
Optimize data storage retrieval and transformation workflows.
Collaborate with data analysts and business stakeholders to deliver actionable insights.
Technical Leadership
Provide guidance and mentorship to junior developers.
Ensure adherence to coding standards best practices and security guidelines.
Participate in architectural discussions and contribute to technical roadmaps.
Collaboration
Work closely with product engineering and data teams to align technical solutions with business needs.
Communicate technical concepts clearly to non-technical stakeholders.
Required Skills
Hands-on experience with Snowflake for cloud data warehousing.
Advanced knowledge of T-SQL for query optimization and database management.
Proficiency in Python for application and data pipeline development.
Good-to-Have Skills
Experience with Hive for big data processing.
Familiarity with Azure Synapse for analytics and reporting.
Knowledge of DBT (Data Build Tool) for data transformation and modeling.
Qualifications
Bachelors or Masters degree in Computer Science Engineering or related field.
6 years of professional software development experience.
Proven track record of delivering scalable data-driven solutions.
Strong problem-solving analytical and communication skills.

IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

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