Data Engineering Lead
Há 1 mês
We are looking for a seasoned Data Engineer to lead our team in developing and optimizing data pipeline architecture and data flow. This role involves working closely with cross-functional teams and maintaining governance over our lakehouse.
Company Overview: At Talkdesk, we are redefining the customer experience by making the impossible possible for companies globally. We have a diverse culture that champions inclusivity and volunteerism. Our commitment to excellence has earned us recognition as a cloud contact center leader by Gartner and Forrester.
Job Description:
This is an exciting opportunity for a skilled Senior Software Engineer to join our growing team of experts. The successful candidate will be responsible for expanding and optimizing our data pipeline architecture and data flow, as well as maintaining governance over our lakehouse. The ideal candidate 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 ingest, process, and store data to power Talkdesk's business
* Design batch or streaming dataflows capable of processing large quantities of fast-moving unstructured data
* Monitor dataflows and underlying systems, promoting necessary changes to ensure scalable, reliable, and high-performance solutions
* Work closely with engineering teams to deliver world-class data-driven solutions
Required Skills and Qualifications:
* Strong understanding of distributed computing principles and distributed systems
* Proven experience in building datalake and/or lakehouse data architectures, integrating large volumes of data sourced from different sources predominantly in real-time fashion
* Proficient in one or more languages like Java, Kotlin, Scala, or Python on JVM
* Experience with messaging systems, such as Kafka, RabbitMQ, or ActiveMQ
* Experience with distributed processing engines, such as Flink, Spark, and/or Kafka Streams
* Good knowledge of analytical tools such as Trino, Dremio, or Impala
* Experience with table formats such as Hive, Iceberg, Delta Lake, or Hudi
* Experience with traditional RDBMS, data modeling, and performance analysis
* 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
Estimated Salary Range: $120,000 - $180,000 per year, depending on qualifications and location.
Benefits include comprehensive health insurance, flexible work arrangements, and opportunities for growth and development.
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