Lead Developer (Data Engineering)

Virtual Office (Tamil Nadu)

Genesys

Genesys is a leader for omnichannel customer experience & contact center solutions, trusted by 10,000+ companies in over 100 countries.

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Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the #1 AI-powered experience orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experiences at scale. As the trusted, all-in-one platform born in the cloud, Genesys Cloud accelerates growth for organizations by enabling them to differentiate with the right customer experience at the right time.  

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.


Summary:

  • Bachelor’s / Master’s degree in quantitative field (e.g. Computer Science, Statistics, Engineering)
  • 3+ years of relevant experience in Data Science or Data Engineering
  • 3+ years of hands-on experience in Elasticsearch, Kibana and real time analytics solution development.
  • Hands-on application development experience in AWS/Azure and experience in snowflake, tableau or power BIExpertise with major statistical & analytical software like Python, R, SAS
  • Good working knowledge on any programming language like Java, NodeJS.
  • 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 developmentExpertise with database solutions such as SQL, MongoDB, Redshift, Hadoop, Hive.
  • Proficiency with REST API, JSON, AWSExperience 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, 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 


Key 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, 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 


Desirable Skills:

  • Node JS
  • Python
  • AWS- Lambda , S3, SQS, ECS , EKS , Event Bridge
  • Serverless Application development
  • AWS Cloud Formation
  • SQL - Good to Have
  • Docker , Kubernetes - Good to Have
  • Expertise in Data Engineering
  • Elastic / Kibana - Good to have
  • Prior Working experience with Contact center reporting with genesys cx, genesys engage , pure connect, cisco , and avaya etc.. is an added advantage.
  • Prior working experience with Genesys Cloud - Preferred

#LI-GR1
#LI-Hybrid
#LI-Remote
 

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Every year, Genesys orchestrates billions of remarkable customer experiences for organizations in more than 100 countries. Through the power of our cloud, digital and AI technologies, organizations can realize Experience as a Service™ our vision for empathetic customer experiences at scale. With Genesys, organizations have the power to deliver proactive, predictive, and hyper personalized experiences to deepen their customer connection across every marketing, sales, and service moment on any channel, while also improving employee productivity and engagement. By transforming back-office technology to a modern revenue velocity engine Genesys enables true intimacy at scale to foster customer trust and loyalty. Visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to HR@genesys.com. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.

 

This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.

Genesys is an equal opportunity employer committed to equity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

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Tags: APIs AWS Azure Computer Science CX Data pipelines Data Warehousing Docker ECS Elasticsearch ELT Engineering ETL Hadoop Java JSON Kibana Kubernetes Lambda MongoDB Node.js Pipelines Python R Redshift REST API SAS Snowflake SQL Statistics Tableau

Perks/benefits: Career development Startup environment

Regions: Remote/Anywhere Asia/Pacific
Country: India

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