Cogito Corporation
Cogito Corporation
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Jobs / Data Engineer

Data Engineer
Posted on: 16th July, 2021 | Closed

Experience 3 years+ exp
Cost to Company As per industry standards
Job Location Pune (open to Remote work)
Openings 4
How to apply Take a 2 hrs screening test organized by Cogito Corporation.
  • Opening time: Aug 27, 2021 12:30 PM UTC
  • Closing time: Sep 05, 2021 06:25 PM UTC
Note: You can take the test anytime between the given duration

Responsibilities: 

  • Delight internal and external customers by a responsive support and highly performant and well-maintained ETL tools, data pipelines and Kubernetes-based production infrastructure. Provide timely resolution to customer concerns and issues. Troubleshoot software, data pipelines and infrastructure issues as needed. 
  • Maintain PCI, HITRUST, HIPAA and SOC2 status by maintaining the tools and systems you are responsible for, keeping the software updated and providing support for our security team during the security audits.
  • Continuously improve the reliability and cost-efficiency of our data services and infrastructure. 
  • Contribute to the Data engineering engagement model, participate in production readiness reviews and improve our operational processes to enable company growth and international expansion. 
  • Automate processes and practices to manage data engineering software lifecycle and configurations to client specifications. 
  • Design and implement technical solutions to meet customer requirements and communicate to a broad range of stakeholders within the business. 

Requirements: 

  • Bachelor’s degree in a CS/IS/IT or related field or equivalent experience • 5+ years in a Data Engineer or equivalent role 
  • Willingness to learn new technologies and skills on the fly 
  • Demonstrate a history of working in environments with any of the following compliance  standards: PCI, HITRUST, HIPAA, Sarbanes Oxley, ISO27002, CIS L1 & L2 

Skills: 

  • Strong software engineering skills - very confident writing good code and experience  writing unit tests, integration tests, and test fixtures 
  • Experience writing ETL and Data Pipeline jobs. 
  • Strong experience in SQL (Postgres and MySQL) 
  • Experience in building microservices / SOA 
  • Experience in Stream processing 
  • Experience with ETL design and tools 
  • Strong Python/Pandas and Java experience 
  • Experience with a CI/CD tool such as Jenkins, Travis CI etc. 
  • Excellent communication and documentation skills
About Cogito Corporation

AI coaching that goes beyond traditional speech analytics.

Cogito is the market leader in human-centred AI coaching,  with over a decade of advanced R&D and hundreds of millions of analysed phone conversations. Our unique combination of rich human behaviour insights with real-time streaming natural language processing, unique to Cogito, allows us to combine the best of both worlds for a truer understanding of employee behaviour and customer sentiment in real-time.

Our Partners

Cogito is advancing the way people communicate by applying machine learning to enhance conversations in real-time. This is your chance to be a part of an industry-leading team that is making a real difference using the latest cloud technologies for building highly scalable products. Cogito performs in-call voice analysis and delivers real-time guidance to call centre agents and unprecedented insights to managers to an impressive portfolio of Fortune 500  clients.

Cogito provides human aware technology to help professionals elevate their performance. Cogito’s contact center AI instantly analyzes hundreds of conversational behaviors to provide live in-call guidance combined with a real-time measure of customer experience. The technology is augmenting the emotional intelligence of thousands of agents in the world’s most successful enterprises – improving sales results, delivering world-class service and enhancing the quality of care. Backed by OpenView Ventures, Romulus Capital and Salesforce Ventures, Cogito is headquartered in Boston, MA. At Cogito, we are united through the common goals of producing innovative technology, driving customer success, and helping people live more productive lives.

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