InterScripts, Inc.
Website:
interscripts.com
Job details:
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.
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.
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