What are the responsibilities and job description for the Senior Domain Consultant - Banking position at Hexaware Technologies?
Job Description
JD: We are seeking a highly skilled Business Systems Analyst (BSA) with a strong technical background and expertise in analyzing business requirements, designing system solutions, and implementing automation. This individual will play a key role in bridging the gap between business requirements and technical execution while also taking ownership of production deployments and process improvements in the data ingestion pipeline. Key Responsibilities: Business Analysis & Requirements Gathering:
JD: We are seeking a highly skilled Business Systems Analyst (BSA) with a strong technical background and expertise in analyzing business requirements, designing system solutions, and implementing automation. This individual will play a key role in bridging the gap between business requirements and technical execution while also taking ownership of production deployments and process improvements in the data ingestion pipeline. Key Responsibilities: Business Analysis & Requirements Gathering:
- Work closely with business stakeholders to gather and analyze requirements
- Collaborate with stakeholders to understand business needs and translate them into technical requirements.
- Create and maintain functional specifications, user stories, and other business documentation.
- Conduct gap analysis and recommend improvements for existing systems and processes
- Create detailed documentation, including business requirements, system workflows, and functional specifications (BRD, FRD, SRS).
- Understand mainframe concepts (Copybook, Cobol files)
- Ensure alignment between business objectives and technical solutions. Cloud Deployment:
- Oversee and manage the cloud deployment of data ingestion solutions in DEV/SIT/PAT and Production environments.
- Coordinate with cross-functional teams (development, QA, operations) to ensure smooth deployment processes.
- Troubleshoot and resolve any production issues, ensuring minimal downtime and impact on business operations.
- Support system integrations and data migrations between cloud and on-premises environments Process Improvement & Automation:
- Identify opportunities for process optimization in the data ingestion pipeline.
- Implement automation solutions to improve efficiency and reduce manual intervention.
- Collaborate with Data Engineers to design and optimize data workflows, ensuring scalable and reliable data pipelines.