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Mid-level generalist data role, broad SQL/Python/ETL requirements, and popular profile increase competition.
Core data engineering and analytics skills are transferable across industries, though healthcare domain knowledge is beneficial.
Mandatory 5+ years and specific ETL, SQL, Python, and reporting tool expertise enforce strict filters.
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Design, develop, and maintain scalable ETL pipelines, data integration workflows, and reporting solutions using SQL, Python, and ETL tools such as Pentaho.
Optimize complex SQL queries and database objects to improve performance; build automation scripts for data processing.
Collaborate with US-based clients and cross-functional teams to gather requirements, support data quality, and participate in technical design and production support activities.
5+ years of relevant industry experience in software engineering, ETL, or data engineering roles.
Strong expertise in SQL (MSSQL and MySQL) and hands-on experience with Pentaho Data Integration or equivalent ETL tools.
Proficiency in Python scripting, automation, and experience with reporting tools such as Power BI, Tableau, or SSRS.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
Experienced working with large-scale data processing systems and relational databases in fast-paced environments.
Familiar with cloud concepts, especially AWS, and working in global delivery models involving US-based clients.
Technical collaborator capable of contributing to system architecture, code reviews, and maintaining technical documentation.