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Data Engineer creating data pipelines for Santander's card transactions. Collaborating with an agile team in strategic projects involving Databricks and PySpark.
About the role
- Develop and maintain T-SQL stored procedures for data processing and transformation
- Design and optimize SQL Server databases for healthcare analytics workflows
- Build data extraction and transformation processes using raw T-SQL
- Collaborate with cross-functional teams to understand data requirements and deliver solutions
- Support data quality initiatives and troubleshoot data processing issues
- Learn and utilize myDBR reporting tool for creating reports and visualizations
- Assist in developing healthcare claims processing workflows and data validation
- Participate in code reviews and maintain documentation for data processes
- Monitor and optimize database performance for large healthcare datasets
- Support ad-hoc data analysis requests from stakeholders
Requirements
- Bachelor's degree in Computer Science, Information Systems, or related field
- 8-10 years of experience in data engineering or database development
- Strong proficiency in SQL Server and T-SQL programming
- Experience writing complex stored procedures, functions, and triggers
- Solid understanding of database design principles and optimization techniques
- Experience with data transformation and ETL processes using T-SQL
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Ability to work independently and manage multiple priorities
Benefits
- Comprehensive on-the-job training in healthcare claims processing and reporting tools
Job title
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