Experience: 35 YearsDomain: 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
Bachelors 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.
Required Skills:
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
Required Education:
Bachelors degree in Computer Science Information Technology or a related field
ETL DeveloperExperience: 35 Years Domain: US Healthcare (Preferred)Location: Kondapur Hyderabad Telangana OnsiteKey Responsibilities: Design develop test and maintain ETL processes to integrate data from various sources. Develop and maintain data models and data dictionaries for the dat...
ETL Developer
Experience: 35 YearsDomain: 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
Bachelors 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.
Required Skills:
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
Required Education:
Bachelors degree in Computer Science Information Technology or a related field