Databricks & Snowflake Developer responsible for designing and optimizing data pipelines. Collaborating with teams to support analytics and reporting initiatives for IQVIA.
Responsibilities
Develop, optimize, and maintain Databricks Notebooks, Workflows, and Jobs
Build scalable PySpark applications and data transformations
Implement and manage Delta Lake tables, including schema evolution and performance tuning
Develop and optimize Snowflake SQL, including complex joins, window functions, and CTEs
Build and manage Snowflake pipelines using Stages, File Formats, COPY, and Snow pipe
Design and build data pipelines integrating Databricks, Snowflake, and Azure Data Factory
Integrate data from relational databases, APIs, file systems, and cloud platforms into Databricks and Snowflake
Document all pipelines, workflows, data models, and architecture across Databricks and Snowflake
Collaborate with business stakeholders to gather data requirements and convert them into technical solutions
Debug Databricks issues including notebook failures, Spark job errors, and ADF pipeline failures
Requirements
Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
2+ years of experience in data engineering or big data development
1+ years hands-on with Databricks, PySpark, and Azure Data Engineering
1+ years hands-on with Snowflake, Snowflake SQL, and ELT development
Strong hands-on experience with Databricks, PySpark, Delta Lake, Spark SQL
Expert in Snowflake SQL, performance tuning, and warehousing
Strong understanding of data warehousing concepts and cloud data architecture
Familiarity with CI/CD (Azure DevOps/GitHub Actions) and Git workflows
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