Healthcare Data Transformation Specialist
3 weeks ago
We are seeking a skilled Data Transformation Specialist to join our dynamic team at H-ART. As a key member of our data engineering team, you will play a vital role in developing and executing data transformation activities, enabling seamless access and analysis of healthcare data for our clients.
Responsibilities:
- Design, develop, and optimize SQL-based tools, scripts, and queries for data transformation, integration, and extraction purposes.
- Execute end-to-end data transformation activities, including data extraction, cleansing, normalization, and aggregation utilizing standard data engineering tools.
- Develop and implement data mapping and transformation logic to ensure data integrity and consistency.
- Continuously improve and streamline our data transformation processes, ensuring optimal performance, scalability, and reliability.
- Perform thorough data validation and quality checks to ensure accuracy, completeness, and integrity of transformed data.
- Collaborate with data analysts and domain experts to resolve data-related issues and discrepancies.
- Identify and address performance bottlenecks in SQL queries and processes.
- Maintain clear and comprehensive documentation of SQL code, data transformation processes, and system configurations.
- Work closely with cross-functional teams, including data analysts, software engineers, and healthcare domain experts, to understand data requirements and translate them into technical solutions.
- Adhere to strict data security and privacy standards, including compliance with relevant regulations (e.g., HIPAA).
Requirements:
- Bachelor's degree in computer science, information systems, or a related field.
- Strong experience (3+ years) as a Data Engineer or similar role, with a focus on data transformation and ETL development.
- Solid understanding of data transformation concepts, data modeling, and database design principles.
- Expertise in SQL programming, including complex query development, stored procedures, and database performance optimization with proficiency in working with relational databases (e.g., Oracle, SQL Server, MySQL) and related tools.
- Strong experience (3+ years) with object-oriented languages and scripting tools including SQL, Python, Scala, and Spark.
- Strong Experience (3+ years) with distributed data/computing tools (Hadoop, Spark) and cloud-based data services (AWS).
- Familiarity with healthcare data standards (e.g., HL7, FHIR) and healthcare-related regulatory requirements (e.g., HIPAA) is highly desirable.
- Strong analytical and problem-solving skills, with the ability to identify data-related issues and implement effective solutions.
- Detail-oriented mindset with a focus on data accuracy, quality, and integrity.
- Excellent communication and collaboration skills to effectively work with cross-functional teams and stakeholders.
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
- Proven ability to work independently and with a team.
Salary:
$80,000 - $120,000
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