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Amazon Web Services (AWS)
PostgreSQLResponsibilities :
- Involve in planning, design, development and maintenance of large-scale data repositories, pipelines, analytical solutions and knowledge management strategy
- Build and maintain optimal data pipeline architecture to ensure scalability, connect operational systems data for analytics and business intelligence (BI) systems
- Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Reporting and obtaining insights from large data chunks on import/export and communicating relevant pointers for helping in decision-making
- Preparation, analysis, and presentation of reports to the management for further developmental activities
- Anticipate, identify and solve issues concerning data management to improve data quality
Requirements :
- Ability to build and maintain ETL pipelines
- Technical Business Analysis experience and hands-on experience developing functional spec
- Good understanding of Data Engineering principles including data modeling methodologies
- Sound understanding of PostgreSQL
- Strong analytical and interpersonal skills as well as reporting capabilities
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𝐎𝐮𝐫 𝐚𝐧𝐬𝐰𝐞𝐫:
AI voice employees that handle the work nobody wants to do. Customer calls at 11 PM. Follow-ups that slip through the cracks. Onboarding that takes forever. These aren't just tasks—they're the things that keep great people from doing great work.
𝐖𝐡𝐚𝐭 𝐰𝐞'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝:
The best technology feels invisible. Our AI employees don't feel like software—they feel like that reliable teammate who just gets things done. No hand-holding, just consistent results that make everyone's day better.
𝐇𝐨𝐰 𝐰𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐢𝐭:
This isn't about replacing anyone. It's about giving your team superpowers. When AI handles the repetitive conversations, your people can focus on solving problems, building relationships, and creating things that matter.
𝐖𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐮𝐬:
Every business has incredible people doing mundane work. We think that's backwards. So we built AI employees that free up human potential—one conversation at a time.
We're not trying to change the world overnight. We're just making tomorrow a little better than today, for teams who believe work should be meaningful.
Ready to give your team superpowers?
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