The Role
The ETL Developer will design, develop, and maintain ETL processes, ensuring data integration from various sources in the US healthcare domain while utilizing AI tools for efficiency.
Summary Generated by Built In
ETL Developer
Experience: 3–5 Years| Domain: US Healthcare (Preferred)
Location: Kondapur, Hyderabad, Telangana| Onsite
Key Responsibilities:
• Design, develop, test, and
maintain ETL processes to integrate data from various sources.
• Develop and maintain data models and data dictionaries for the data warehouse.
• Monitor and troubleshoot ETL jobs and data quality issues.
• Collaborate with data analysts, business analysts, and other stakeholders to understand data integration requirements and ensure data accuracy and completeness.
• Create and maintain documentation of ETL processes, data models, and data dictionaries.
• Continuously improve ETL processes to enhance data quality, efficiency, and scalability.
• Work closely with the IT team to ensure the ETL processes run effectively and efficiently.
• Keep up to date with the latest trends and best practices in ETL, data integration, and AI-assisted development tooling.
• Utilize AI coding assistants to accelerate ETL development, script generation, and debugging workflows.
• Apply AI/ML-based anomaly detection or data profiling tools to proactively identify and resolve data quality issues.
• Experiment with and evaluate emerging AI-powered data integration and pipeline orchestration tools to recommend adoption where appropriate.
Preferred domain experience:
• US Healthcare data (HL7, FHIR, claims, EDI 837/835).
• Understanding of HIPAA compliance requirements as they relate to data pipelines and ETL processes.
• Develop and maintain data models and data dictionaries for the data warehouse.
• Monitor and troubleshoot ETL jobs and data quality issues.
• Collaborate with data analysts, business analysts, and other stakeholders to understand data integration requirements and ensure data accuracy and completeness.
• Create and maintain documentation of ETL processes, data models, and data dictionaries.
• Continuously improve ETL processes to enhance data quality, efficiency, and scalability.
• Work closely with the IT team to ensure the ETL processes run effectively and efficiently.
• Keep up to date with the latest trends and best practices in ETL, data integration, and AI-assisted development tooling.
• Utilize AI coding assistants to accelerate ETL development, script generation, and debugging workflows.
• Apply AI/ML-based anomaly detection or data profiling tools to proactively identify and resolve data quality issues.
• Experiment with and evaluate emerging AI-powered data integration and pipeline orchestration tools to recommend adoption where appropriate.
Preferred domain experience:
• US Healthcare data (HL7, FHIR, claims, EDI 837/835).
• Understanding of HIPAA compliance requirements as they relate to data pipelines and ETL processes.
Requirements
• Bachelor's degree in
Computer Science, Information Technology, or a related field.
• 3+ years of experience in ETL development.
• Experience with ETL tools such as Talend or SSIS
• Proficiency in SQL, On-Prem, and Cloud database technologies (e.g., Oracle, SQL Server, MySQL, Azure SQL).
• Demonstrated use of AI coding assistants or automation tools in a professional development environment.
• Familiarity with version control systems (Git) and CI/CD pipelines for ETL deployments.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Healthcare data experience is a plus, but not mandatory.
Nice to have:
• Experience with cloud-based ETL services such as Azure Data Factory, AWS Glue, or Databricks.
• Exposure to Python or Spark for large-scale data transformations.
• Knowledge of data governance frameworks and metadata management tools.
• Participation in AI/ML data pipeline projects or MLOps workflows.
• 3+ years of experience in ETL development.
• Experience with ETL tools such as Talend or SSIS
• Proficiency in SQL, On-Prem, and Cloud database technologies (e.g., Oracle, SQL Server, MySQL, Azure SQL).
• Demonstrated use of AI coding assistants or automation tools in a professional development environment.
• Familiarity with version control systems (Git) and CI/CD pipelines for ETL deployments.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Healthcare data experience is a plus, but not mandatory.
Nice to have:
• Experience with cloud-based ETL services such as Azure Data Factory, AWS Glue, or Databricks.
• Exposure to Python or Spark for large-scale data transformations.
• Knowledge of data governance frameworks and metadata management tools.
• Participation in AI/ML data pipeline projects or MLOps workflows.
Skills Required
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 3+ years of experience in ETL development
- Experience with ETL tools such as Talend or SSIS
- Proficiency in SQL, On-Prem, and Cloud database technologies
- Familiarity with version control systems (Git) and CI/CD pipelines
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The Company
What We Do
InterScripts delivers comprehensive IT services and solutions, including management and technology consulting, to commercial, government, and healthcare organizations. They specialize in modernizing technology, data management, and secure data archival, notably with their AI-powered platform, BytePad.
