• Daily meetings with the internal team • Weekly meetings with clients and TTEC Digital client account managers • Requirements analysis and design conversations for new enhancements • Working on issues in Jira - building systems, creating CloudFormation/Serverless templates • Learning best practices in NodeJS, JavaScript/TypeScript, and Python communities • Working with mentor/team lead to enhance knowledge of AWS Services • Learning new methods and sharing knowledge with team members • Be ready to learn quickly!

• Contribute to maturing our cloud security posture management practice across our cloud environments • Ship CI/CD security integrations that developers actually use • Partner with infrastructure enablement and product teams to embed security into the workflows they already use • Help shape our AI security programme at scale • Participate in the on-call rotation and build runbook quality and post-incident reviews

• Develop and maintain reports, dashboards, and analytics using OTBI and BI Publisher • Collaborate with HR business partners and stakeholders to gather reporting requirements and translate them into technical specifications • Create and modify BI Publisher data models and build RTF or Excel‑based report templates • Build and customize OTBI analyses and dashboards to deliver real‑time HR insights • Write and optimize SQL queries to support complex data extraction and reporting needs • Provide ongoing support for existing reports, including troubleshooting data issues and implementing enhancements • Assist in testing and validating new reports and system upgrades to ensure data integrity • Support reporting needs across Core HR, Benefits, Compensation, and related HCM modules

• Design, develop, and implement scalable and reliable data solutions on the Microsoft Azure platform. • Collaborate with cross-functional teams to gather and analyze data requirements. • Design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability. • Perform data integration and transformation activities, ensuring data quality and consistency. • Implement data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage. • Monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability. • Implement data quality measures and data governance practices to ensure data accuracy, consistency, and privacy. • Collaborate with data scientists and analysts to support their data needs and enable data-driven insights.