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.

Qualifications:

•      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.