<p><p><b>Responsibilities :</b><br/><br/>- Design, develop, and maintain scalable data pipelines using AWS services.
</p><p><br/></p><p>- Automate data pipeline deployments, troubleshoot and resolve data pipeline issues, ensuring high availability and performance.<br/><br/>- Build and optimize ETL/ELT processes to ingest, transform, and load data from various sources into target systems on AWS.<br/><br/>- 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.<br/><br/>- Collaborate with business stakeholders to understand data requirements and deliver solutions that meet requirements.<br/><br/>- Develop and implement Jira workflows (with help from Atlassian partner vendors where required), including creating and configuring transitions, statuses, and automations to streamline processes.
</p><p><br/></p><p>- Integrate web automation scripts with Jira workflows to trigger automated actions based on issue status changes or other events.<br/><br/>- Build / Integrate APIs with MS teams or Web Frontend for Recurring requests<br/><br/>- Enable self-serve analytics across the organization, explore and implement Gen AI capabilities that can lead to innovative solutions for the organization.<br/><br/>- Optimize data storage, retrieval and deployment strategies for performance and cost-effectiveness in AWS.<br/><br/>- Utilize AWS data services such as S3, Glue, Lambda, Step Functions, Kinesis, Redshift, and RDS to construct efficient data workflows.<br/><br/>- Maintain code and query repositories using Git or similar tools, ensuring proper version control and providing comprehensive documentation for all code and queries.<br/><br/>Experience in JavaScript, HTML and automation</p><br/></p> (ref:hirist.tech)