Talkdesk is pioneering a new era of Customer Experience Automation (CXA), redefining how the world’s most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success and every voice belongs. Combining the stability of a global leader with the agility of a disruptor, Talkdeskers are empowered with the autonomy to drive meaningful impact, while giving back to the communities and environment around us.

Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant™ for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting time to join us as we shape the future of customer experience automation!

Purpose:

We are looking for a savvy Data Engineer to join our growing team of Data experts. The hire will be responsible for expanding and optimizing our data pipeline architecture and data flow and collection for cross-functional teams and maintaining governance over our lakehouse. The Data Engineering team will partner with fellow software engineers to build data pipelines and solve data-related problems within the company.

Responsibilities:

• Develop, deploy, and maintain Big Data solutions that will ingest, process, and store the necessary data to power Talkdesk’s business

• Design batch or streaming dataflows capable of processing large quantities of fast-moving unstructured data

• Monitoring dataflows and underlying systems, promoting the necessary changes to ensure scalable, reliable, and high-performance solutions

• Work closely with the rest of Talkdesk’s engineering to deliver world-class data-driven solutions

Required Skills:

• Strong understanding of distributed computing principles and distributed systems

• Experience with messaging systems, such as Kafka, RabbitMQ, or ActiveMQ

• Experience with distributed processing engines, such as Flink, Spark, and Trino

• Experience with table formats such as Hive, Iceberg, Delta Lake, Hudi or similar

• Experience with relational databases, including data modeling, scalability strategies, and performance analysis

• At least 2 years of relevant professional experience

• Strong written and verbal English communication skills

Nice to have / Pluses:

• BS/MS Degree in Computer Engineering, Computer Science, Applied Math, or another engineering-related field

• Experience in building datalake and/or lakehouse data architectures, integrating large volumes of data sourced from different sources predominantly in a real-time fashion

• Experience in one or more languages like Java, Kotlin, or Scala.

• Experience in Agile development methodology/Scrum

• Good understanding of Lambda and Kappa Architectures, along with their advantages and drawbacks

• Experience in containerization and orchestration technologies, including Docker and Kubernetes, to streamline application deployment and management.

• Experience with cloud environments such as AWS, Azure, or Google Cloud

Work Environment and Physical Requirements:

Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)

The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.