Senior Data Engineer at Talkdesk 2

Talkdesk is seeking a Senior Data Engineer to join its growing Data team. The ideal candidate will be responsible for expanding and optimizing Talkdesk's data pipeline architecture, data flow, and collection for cross-functional teams, as well as maintaining governance over the lakehouse. Talkdesk embraces FAST: Focus + Accountability + Speed = Talkdesker.

The Senior Data Engineer 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 for data ingestion, processing, and storage.
• Design batch or streaming dataflows to process large quantities of fast-moving unstructured data.
• Monitor dataflows and underlying systems, implementing changes for scalable, reliable, and high-performance solutions.
• Collaborate with Talkdesk’s engineering team to deliver data-driven solutions.

Requirements:

• Strong understanding of distributed computing principles and distributed systems.
• Experience in building datalake and/or lakehouse data architectures.
• Proficiency in languages like Java, Kotlin, or Scala.
• Experience with messaging systems like Kafka, RabbitMQ, or ActiveMQ.
• Experience with distributed processing engines like Flink, Spark, or Kafka Streams.
• Knowledge of analytical tools such as Trino, Dremio, or Impala.
• Experience with table formats like Hive, Iceberg, Delta Lake, or Hudi.
• Experience with relational databases, including data modeling and scalability strategies.
• Experience with cloud environments such as AWS, Azure, or Google Cloud.
• At least 4 years of relevant professional experience.
• Strong written and verbal English communication skills.

The role offers:

• Opportunity to work with a growing team of data experts.
• Chance to build and maintain data pipelines and architectures.
• Collaborative environment with fellow software engineers.