ETL Solutions Engineer
- Design, develop, and maintain ETL and data integration architectures, pipelines, and workflows.
- Create and manage data specifications, standard data packages, and transformation logic.
- Collaborate with internal teams, clients, and third-party data providers to ensure accurate and timely data delivery.
- Implement and monitor data quality checks, validations, and error-handling mechanisms across all ETL processes.
- Lead root-cause analysis and resolution of data and pipeline issues.
- Provide technical leadership through solution design reviews, code reviews, and mentoring.
- Lead end-to-end implementation of complex ETL workflows across APIs, flat files, patient systems, and cloud sources.
- Drive automation initiatives, CI/CD adoption, and cloud-native ETL solutions, primarily in Azure.
- Ensure compliance with enterprise data governance, security, and regulatory standards, including HIPAA and SOX.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- 7+ years of experience in ETL or data engineering roles, including 2+ years in a lead or architect capacity.
- Strong experience with ETL platforms such as SSIS and Azure Data Factory.
- Advanced SQL and data modeling skills.
- Experience building data pipelines in cloud environments, preferably Azure.
- Proficiency in scripting languages such as Python or Bash and version control tools such as Git.
- Strong problem-solving, communication, and documentation skills.
- Experience with real-time data integration technologies such as Kafka.
- Familiarity with modern data warehousing platforms including Snowflake or Azure Synapse.
- Experience with data governance, lineage, or metadata tools.
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