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Mid-level, generalist data role with common skills, metro appeal, and broad tool requirements leading to high competition.
Core SQL, ETL and Python skills transfer across industries, though healthcare preference raises domain specificity.
Requires 5+ years plus specific ETL, SQL, Python, and reporting tool expertise, so filtering will be strict.
Design, develop, and maintain scalable ETL pipelines, data integration workflows, and Python-based automation scripts.
Develop and optimize complex SQL queries and database objects in MSSQL and MySQL; create and maintain dashboards and reports using tools like Power BI or Tableau.
Collaborate with cross-functional teams and US-based clients to gather requirements, troubleshoot performance issues, support deployments, and contribute to technical design decisions.
5+ years of relevant industry experience in software engineering, ETL, or data engineering roles.
Strong expertise in SQL (MSSQL and MySQL), Pentaho Data Integration or equivalent ETL tools, and Python scripting/automation.
Experience with reporting tools such as Power BI, Tableau, or SSRS.
Bachelor’s degree in Computer Science, IT, Engineering, or related field.
Experienced in large-scale data processing and capable of optimizing database and ETL performance in fast-paced environments.
Skilled at client communication and collaboration within global delivery settings, especially with US-based stakeholders.
Comfortable contributing technically to system architecture and documentation while ensuring data quality and governance.