Associate Data Engineer (Python, SQL, AWS)

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 8000 organizations in over 100 countries moving AI from possibility to production in real-world enterprise environments every day.

The Genesys Data Engineering & Analytics Team

The Data Engineering & 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

• 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

• 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

• Bachelors degree in computer science data science AND 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

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

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Working at Genesys

• AI at enterprise scale Build support and operate AI-powered technology used by more than 8000 organizations worldwide. 150new AI features were released in the last fiscal year.
• A flexible-first culture Join a global team of nearly 7000 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.

Learn more about our culture AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply

After you apply heres 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 youll 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

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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 8000 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.

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 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.