Staff Data Engineer
Staff Data Engineer
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Job Description
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud the AIpowered Experience Orchestration platform organizations can accelerate growth by delivering empathetic personalized experiences at scale to drive customer loyalty workforce engagement efficiency and operational improvements.
We employ more than 6000 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:
The Genesys Data & Analytics Team
The Data & Analytics team is a central team comprised of Data Engineering Data Platform/Technologies Data Analytics Data Science Data Product and Data Governance practices. This mighty team serves the enterprise that includes sales finance marketing customer success product and more. The team serves as a core conduit and partner to operational systems that run the business including Salesforce Workday and more. The Data Engineering team creates data products and consumption capabilities that meet the needs of our enterprise analyst communities and downstream systems that utilize data to drive the business.
Staff Data Engineer is a key member of the Data Engineering team and is part of Enterprise Data & Analytics organization that brings engineering excellence at design deliver and operate the capabilities that transforms our business. As a Staff Data Engineer you will lead complex data problems and influence other pod members on engineering best practices and standards.
Responsibilities
Design build and maintain batch or realtime data pipelines.
Partners closely with data architects to deliver in alignment with the long term architecture of data engineering solutions.
Work with product owners data scientists and analysts to understand requirements clean and integrate data and determine the best way to provision that data.
Deliver to architectural design from principal engineers and architects on technology solutions that achieve results at scale.
Provide technical thought leadership for efficient data pipeline processes warehouse architecture and business intelligence functions.
Guide mentor and influence other data engineers and analysts on engineering best practices.
Drive a data operations mindset by monitoring and analyzing information to evaluate data pipeline performance & quality.
Collaborate with crossfunction teams to design interfaces that support data integration (ingress and egress) with internal and external platforms.
Requirements
- 57 years of enterprise data engineering experience
- Proficiency with building enterprise grade data integration pipelines with optimization of data pipelines (AWS Databricks Snowflake)
- Experience with cloud database technologies such as Azure Snowflake Databricks Google AWS Glue Airflow etc.
- Knowledge about data replication data integration and data masking
- 57 years of programming experience with command in Python and at least one or more of the following programming languages: SQL Java R or Spark
- Must be skilled communicator and demonstrate an ability to work with end users and business leaders
- Experience with engineering best practices including CI/CD code quality testing documentation monitoring and more.
- Experience with distributed data processing
- Experience working within an agile scrum framework
Preferred Qualifications
- Bachelors degree in computer science data science AND 5 years of experience in business analytics data science software development data modeling and/or data engineering work or masters degree in computer science
- Strong team player: ability to lead peers in accomplishment of common goals.
- Creative innovative and solution design thinking: You evaluate things holistically and think through the objectives impacts best practices and what will be simple and scalable
If a Genesys employee referred you please use the link they sent you to apply.
About Genesys:
Genesys empowers more than 8000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud the AIpowered Experience Orchestration platform Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic personalized experience at scale. As the trusted platform that is born in the cloud Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time while driving stronger workforce engagement efficiency and operational improvements. Visit.
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 You can expect a response from someone within 2448 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 nonaccommodationrelated 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 expressionmarital status domestic partner statusnational origin genetics disabilitymilitary andveteran status and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
Required Experience:
Staff IC
Employment Type
Full-Time
