Posted today · be early
Senior developer - PS Innovations
Genesys
IndiaremotePosted 1 day ago
Skill Required
Data-EngineeringData-ScienceSenior-DeveloperBackend-DevelopmentCloud-DevelopmentSenior-Software-DeveloperSenior-Developer-JobsSenior-Technical-DeveloperSenior-Applications-DeveloperSenior-Systems-DeveloperSenior-Application-DeveloperData Warehousingdata engineeringElasticsearchEngineeringR ProgrammingJavaScriptStatisticsSnowflakeanalyticsRESTNode.jsbuildingTableauPythonDockerAzureCiscoCloudJavaETLAWSGCPandAIFulltime
Key highlights
- 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
- Bachelor’s / Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Engineering)
- A flexible‑first culture with flexible ways of working
- Paid volunteer time, August Free Fridays, and well‑being resources for employees and families
- Genesys is Great Place to Work® certified in 17 countries
Role overview
Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.
Responsibilities
- 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.
Requirements
- 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
- Good working knowledge on any programming language like Java, NodeJS, Python.
- 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.
Nice to have
- Application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc. is an added advantage
- Hands on Experience with JavaScript , Node.JS or Python
- Hands experience with AWS Application development, (Lambda, ECS Fargate, EKS, Docker , SQS, etc..)
- Working at Genesys
- and it is good to have experience in Snowflake, Tableau, or ELK
Benefits
- A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
- Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
- Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
- Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.
- Reasonable accommodations are provided for applicants who need them during the application process.
- Genesys is an equal opportunity employer committed to fairness in the workplace.
Additional details
- After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps. Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
- Stay Connected: Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available. Get notified about relevant opportunities.
- Employee Referral: If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.
- About Genesys: Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai.
- Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us. You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
- Recruiter Conduct: Please note that recruiters will never ask for sensitive personal or financial information during the application phase. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.
- Posted on: Originally posted on Himalayas.
