Associate Data Engineer

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 AI-powered 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 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.

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.

Associate 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 Associate Data Engineer, you will Design and Develop data pipelines and support the team in designing and solution complex data problems and follow engineering best practices and standards. 

Responsibilities

Design, build and maintain batch or real-time 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.

Develop efficient data pipeline processes, warehouse architecture and business intelligence functions.

Work closely with other data engineers and analysts and align on engineering best practices.

Have a data operations mindset by monitoring and analyzing information to evaluate data pipeline performance & quality.

Collaborate with cross-function teams to design interfaces that support data integration (ingress and egress) with internal and external platforms.

Requirements

• 0-2 years of enterprise data engineering experience

• Experience in 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

• 0-2 years of programming experience with command in Python and at least one or more of the following programming languages: SQL, Java, R or Spark

• Skilled communicator, and demonstrate an ability to work with other Engineers, Product and end users

• Experience with engineering best practices including CI/CD, code quality, testing, documentation, monitoring and more.

• Good to have working experience within an agile scrum framework

Preferred Qualifications

• Bachelor’s degree in computer science, data science AND experience in business analytics, data science, software development, data modeling and/or data engineering work or master's 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

• Experience working on AI/ML use-cases is a plus

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

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. 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.com.

Reasonable Accommodations:

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Genesys is an equal opportunity employer committed to fairness 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.