- Automate data pipeline deployments, troubleshoot and resolve data pipeline issues, ensuring high availability and performance.

- Build and optimize ETL/ELT processes to ingest, transform, and load data from various sources into target systems on AWS.

- Design, develop, and maintain robust and scalable web automation scripts using Selenium or similar tools to automate repetitive tasks (of business operations team) across various web applications.

- Collaborate with business stakeholders to understand data requirements and deliver solutions that meet requirements.

- Develop and implement Jira workflows (with help from Atlassian partner vendors where required), including creating and configuring transitions, statuses, and automations to streamline processes.

- Integrate web automation scripts with Jira workflows to trigger automated actions based on issue status changes or other events.

- Build / Integrate APIs with MS teams or Web Frontend for Recurring requests

- Enable self-serve analytics across the organization, explore and implement Gen AI capabilities that can lead to innovative solutions for the organization.

- Optimize data storage, retrieval and deployment strategies for performance and cost-effectiveness in AWS.

- Utilize AWS data services such as S3, Glue, Lambda, Step Functions, Kinesis, Redshift, and RDS to construct efficient data workflows.

- Maintain code and query repositories using Git or similar tools, ensuring proper version control and providing comprehensive documentation for all code and queries.

Experience in JavaScript, HTML and automation