Summary :

- Interface with business customers, gathering and understanding requirements.

- Interface with customer and Genesys data science teams in discovery, extraction, loading, data transformation, and analysis of results.

- Define and utilize data intuition process to cleanse and verify the integrity of customer & Genesys data to be used for analysis.

- Implement, own, and improve data pipelines using best practices in data modeling, ETL/ELT processes.

- Build, improve, and provide ongoing optimization of high-quality models.

- Work with PS & Engineering to deliver specific customer requirements and report back customer feedback, issues, and feature requests.

- Continuous improvement in reporting, analysis, and overall process.

- Visualize, present, and demonstrate findings as required.

- Perform knowledge transfer to customer and internal teams.

- Communicate within the global community respecting cultural, language, and time zone variations.

- Demonstrate flexibility to adjust working hours to match customer and team interactions.

Desired Candidate Profile :

- Bachelor's / Master's degree in quantitative field (e.g., Computer Science, Statistics, Engineering).

- 5+ years of relevant experience in Data Science or Data Engineering.

- 5+ years of hands-on experience in Elasticsearch, Kibana, and real-time analytics solution development.

- Hands-on application development experience in AWS/Azure/GCP and it is good to have experience in Snowflake, Tableau, or ELK.

- Good working knowledge on any programming language like Java, NodeJS, Python.

- Application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc. is an added advantage.

- Expertise with data modeling, data warehousing, and ETL/ELT development.

- Proficiency with REST API, JSON, AWS.

- Experience in working and delivering projects independently.

- Ability to multi-task and context switch between projects and tasks.

- Curiosity, passion, and drive for data queries, analysis, quality, and models.

- Excellent communication, initiative, and coordination skills with great attention to detail.

- Ability to explain and discuss complex topics with both experts and business leaders.

Tech Stack :

- Languages : JavaScript, NodeJS, Python, Java

- Cloud : AWS (Lambda, ECS Fargate, EKS, Docker, SQS)

- Analytics/Data : Elasticsearch, Kibana, Snowflake, Tableau, ETL/ELT