Data Engineer - Platform as a Service
Lisbon
Talkdesk
Talkdesk is a global cloud contact center leader for modern AI-powered customer service that is trusted, flexible, and innovative. Get a demo today.At Talkdesk, we are courageous innovators focused on redefining customer experience, making the impossible possible for companies globally. We champion an inclusive and diverse culture representative of the communities in which we live and serve. And, we give back to our community by volunteering our time, supporting non-profits and minimizing our global footprint. Each day, thousands of employees, customers and partners all over the world trust Talkdesk to deliver a better way to great experiences.
We are recognized as a cloud contact center leader by many of the most influential research organizations, including Gartner and Forrester. With $498 million in total funding, a valuation of more than $10 Billion, and a ranking of #17 on the Forbes Cloud 100 list, now is the time to be part of the Talkdesk legacy to help accelerate our success in a new decade of transformational growth.
At Talkdesk, our Engineering team follows a micro-service architecture approach to build the next generation of Talkdesk, with vertical teams responsible for all the decisions under their services. Through our Agile Coaches, we promote agile and collaborative practices, we are huge fans of Scrum, pair programming and we won’t let a single line of code reach production without peer code reviews. We strongly believe that the only true authority stems from knowledge, not from position and we always treat others with respect, deference and patience.
Responsibilities:
- Develop, deploy and maintain a Data Mesh solution to power Talkdesk’s Data Science, BI and Reporting products
- 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, high performance solutions and assure data quality and availability
- Work closely with the rest of Talkdesk’s engineering to deliver a world class Data Mesh solution
Requirements:
- Strong understanding of distributed computing principles and distributed systems
- Building stream-processing systems, using solutions such as Spark-Streaming, Flink, Kafka Streams, Storm or similar
- Experience with Big Data processing frameworks such as Hadoop, Spark or Samza
- Good knowledge of Big Data analytical tools, such as Hive, Impala, Presto or Drill
- Experience with integration of data from multiple data sources
- Experience with traditional RDBMS and data modeling
- Experience with Data Warehouses and related concepts. Knowledge of Redshift or other Data Warehousing solutions
- Experience with NoSQL databases, such as MongoDB, Cassandra, and HBase
- Experience with messaging systems, such as Kafka or RabbitMQ
- Experience with cloud environments such as AWS or Google Cloud
- Strong written and verbal English communication skills
Nice to have / Pluses
- BS/MS Degree in Computer Engineering, Computer Science, Applied Math, or a similar area
- Experience in Agile development methodology/Scrum
- Good understanding of Lambda and Kappa Architectures, along with their advantages and drawbacks
- Management of Hadoop, Spark, Flink clusters with all included services.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Big Data Cassandra Computer Science Data Warehousing Distributed Systems Engineering Flink GCP Google Cloud Hadoop HBase Kafka Lambda MongoDB NoSQL RDBMS Redshift Research Scrum Spark Streaming Unstructured data
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Power BI Developer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs