Product Owner with EDA

Required skills :

EDA (Event driven Architecture) architect experience is must.

The candidate must have experience as Product owner with healthcare payer(US Health insurance) domain experience and experience in implementing EDA(Event driven Architecture) , excellent communication skills. Candidate must be senior, experienced resource who will help champion the EDA (Event Driven Architecture)

We are seeking an experienced and detail-oriented Business Analyst to join our team and take a leading role in driving the implementation and optimization of data pipelines within our AWS data lake and data warehouse. As an AWS Data Pipeline Business Analyst, you will collaborate with business partners, technical teams, and vendors to gather requirements, design efficient data workflows, and ensure successful project completion.

Responsibilities :

• Work closely with business partners to understand their data requirements and objectives and translate them into well-defined technical specifications for data pipeline implementation.
• Collaborate with technical teams to design and implement data ingestion, transformation, and processing workflows within our AWS data lake and data warehouse.
• Evaluate and recommend appropriate AWS services and technologies for building scalable and reliable data pipelines, such as AWS Glue, AWS Data Pipeline, Amazon Redshift, or AWS Lambda.
• Gather and document data mapping, transformation rules, and data quality requirements to ensure accurate and consistent data flows across the pipelines.
• Collaborate with the Enterprise Data Service team to ensure compliance with data governance, security, and privacy policies throughout the data pipeline lifecycle.
• Facilitate the integration of data from various sources into the data lake and data warehouse, ensuring data integrity, consistency, and optimization.
• Conduct thorough testing and validation of data pipelines to ensure functionality, performance, and reliability, and coordinate with stakeholders to resolve any issues or defects.
• Provide training and support to end-users, helping them leverage the full capabilities of the data pipelines and AWS data services.
• Monitor the performance and effectiveness of data pipelines, identify opportunities for optimization and efficiency improvements, and propose recommendations for enhancements.
• Stay up-to-date with the latest AWS data services, features, and industry best practices, and actively contribute to the continuous improvement of data pipeline processes.

Requirements :

If you are a dedicated Business Analyst with a strong background in AWS data services, data pipeline implementation, and a passion for optimizing data workflows within an AWS data lake and data warehouse, we invite you to join our team. Contribute to the success of our organization by leveraging your expertise to drive efficient and scalable data pipelines, enabling effective data analysis, insights, and decision-making.