Lead Data Engineer

Genesys; Ontario; On-site; CAD 110,000 - 130,000; Full time

Job summary

A leading technology solutions provider is seeking a Lead Data Engineer to join their Batch Analytics team. In this role, you will lead the development of large-scale data pipelines and scalable data products using technologies like Spark and AWS. The ideal candidate will have strong experience in big data technologies and a desire to mentor junior engineers. This position offers competitive pay and excellent benefits in a collaborative environment.

Benefits

Comprehensive health coverage

Flexible work options

Generous time off

Retirement savings

Qualifications

• Proven experience engineering scalable systems using big data technologies.
• Strong software engineering background.
• Experience building and operating large-scale distributed systems on cloud infrastructure.

Responsibilities

• Build and manage large-scale data pipelines using Spark and Airflow.
• Design and deploy software to enhance reliability and performance.
• Engineer scalable architectures for diverse applications.

Skills

Big data technologies

Java

Python

AWS

Education

Bachelor's degree in Computer Science or related field

Tools

Spark

Airflow

Ansible

Job description

Join to apply for the Lead Data Engineer role at Genesys

Join to apply for the Lead Data Engineer role at Genesys

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.

Benefits That Support You :

Comprehensive health coverage : Extended Health Care including medical, dental, vision, and emergency

Flexible work options : Remote-friendly with flexible schedules

Generous time off : Includes vacation, statutory holidays, and personal leave

Retirement savings : RRSP matching available

Family benefits : Parental leave support, coverage for fertility treatments and adoption assistance

Growth and development : Access to learning resources and internal mobility

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 :

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 [e-mail]. 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 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.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Industries

IT Services and IT Consulting and Software Development

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