Lead 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.

Job Summary:
At Genesys, our Cloud Analytics platform powers critical decisions that shape exceptional customer experiences. As a Senior Data Engineer in the Batch Analytics team, you will lead the development and operation of large-scale EMR pipelines using Spark and Airflow, processing petabytes of data daily. You will play a pivotal role in building scalable, reliable data products and tools that drive the future of customer experience.

Responsibilities:

• Build and manage large-scale data pipelines using Spark and Airflow within AWS environments.

• Design and deploy highly available, fault-tolerant software to enhance the reliability, performance, and efficiency of the Genesys Cloud Analytics platform.

• Engineer scalable architectures across all stages of the data lifecycle (ingestion, storage, search, aggregation) to support diverse applications.

• Develop reusable developer tooling and abstractions to enable self-service pipeline creation for engineering teams.

• Build, deploy, maintain, and automate global deployments using AWS services and Ansible.

• Troubleshoot production issues, identify root causes, and implement robust solutions.

• Review code, mentor junior engineers, and foster a collaborative, learning-focused environment.

Qualifications:

• Proven experience engineering scalable systems using big data technologies such as Hadoop, Spark, Hive, Presto, or Elasticsearch.

• Strong software engineering background, with the ability to design systems from the ground up.

• Expertise in Java; proficiency in Python or other object-oriented languages is a plus.

• Experience building and operating large-scale distributed systems on cloud infrastructure, preferably AWS.

• A product-focused mindset, energized by building solutions that will be widely used.

• Enthusiasm for mentoring and collaborating with junior team members.

• Adaptability and openness to exploring new technologies and rapid prototyping.

• Strong emphasis on maintainability, testability, observability, and automation in design.

Preferred Qualifications:

• Familiarity with building immutable machine images using Ansible.

• Deep understanding of automation practices, including CI/CD pipelines, automated scaling, testing, and healing.

• Practical experience with orchestration tools such as Airflow.

• Familiarity with DynamoDB, Elasticsearch, Presto, and S3 for query and storage solutions.

• Commitment to selecting the best tools for each job rather than relying on past practices.

Technologies and Practices:

• AWS for cloud infrastructure.

• Hadoop and Spark for batch processing.

• Airflow for orchestration of data workflows.

• Ansible for automation and deployment.

• DynamoDB, Elasticsearch, Presto, and S3 for storage and querying.

• Automation-first mindset across scaling, testing, and deployment operations.

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

About Genesys:

Genesys empowers more than 8,000 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 AI-powered 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 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.