ETL Developer

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.

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.