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Data Engineer Engineering Lisbon Hybrid Remote - California, United States - Unbabel Inc
1 week ago
Description
About Unbabel
The company's language operations platform blends advanced artificial intelligence with human editors, for fast, efficient, high-quality translations that get smarter over time.
Making it easy for enterprises to grow into new markets and build seamless customer experiences in every corner of the world.
Based in San Francisco, California, Unbabel works with leading customer support and marketing teams at brands such as Facebook, Microsoft, , and Under Armour to communicate effortlessly with customers around the world, no matter what language they speak.
What's the opportunity about?Unbabel's data is large and complex and having it accessible to different stakeholders is no simple task.
Our main goal is to make sure everybody in Unbabel has access to the data they need, in the way they need it.
As a Data Engineer, you will play a crucial role in designing, building and maintaining our distributed data platform.You will collaborate closely with cross-functional teams to develop scalable, reliable, and high-performance data solutions for operational and analytical use cases, that empower our organization to extract meaningful insights from diverse data sources within a data mesh architecture.
Examples of the work you will be involved in includes implementation and improvements in event-driven architecture for data processing, and data stores that feed and improve our AI systems/models.
ResponsibilitiesDesign, implement and optimize operational and analytical data pipelines to ingest, process, and transform data from various sources, ensuring scalability, reliability, and efficiency
Design batch or streaming dataflows capable of processing large quantities of fast moving unstructured data
Collaborate with domain-oriented teams to understand their data requirements and provide guidance on data integration, access, and consumption within a data mesh architecture
Design and implement the data platform tools used across the organization
Establish and enforce data governance policies, including metadata management, access control, and compliance with regulatory requirements, to ensure the security and integrity of our data assets
Monitor dataflows and underlying systems, promoting the necessary changes to ensure scalable, high performance solutions and assure data quality and availability
Work closely with AI, Engineering and the rest of Unbabel to deliver world class data driven solutions
Requirements
BS/MS Degree in Computer Engineering, Computer Science or a similar area
Minimum of 2 years of experience in Data Engineering
Software engineering background with experience in OO programming or Functional Programming
We work mostly in Python but you should at least have experience with one of the following: Java, Scala or Python
Strong system design and data architecture design skills
Good understanding of distributed systems principles
Familiarity with data modeling concepts and techniques
Experience with NoSQL databases, such as MongoDB, Cassandra, and HBase
Experience with messaging systems, such as Kafka or RabbitMQ
Experience with AWS, especially the data services in AWS Strong SQL knowledge
Strong analytical and problem-solving skills, with the ability to troubleshoot and optimize complex data workflows and infrastructure
Strong written and verbal English communication skills
Nice to have
Experience with Data Warehouses (e.g. Redshift, Snowflake, etc.), Data Lakes and related concepts
Good understanding of Lambda and Kappa Architectures, along with their advantages and drawbacks
Knowledge stream-processing systems, using solutions such as Spark-Streaming, Flink, Kafka Streams, Storm or similar
Experience with other cloud providers e.g. GCP or Azure Cloud
Experience with Data quality and Data lineage tools
Experience with Looker
Benefits
Competitive salary at one of Europe's leading tech startups;
A stimulating startup environment committed to diversity and inclusion;
Health insurance;
Stock options;
Flexible working hours;
Individual budget to set up your workstation;
Budget for learning and development;
Free office breakfast.
Diversity Statement
Unbabel is an Equal Opportunity Employer. We do not discriminate based on ethnicity, religion, colour, sex, gender identity, sexual orientation, age, or mental disability. Not only do we not discriminate, but we celebrate differences.
If for whatever reason you need us to make reasonable adjustments and adaptations to our recruitment process, please let your recruiter know.
(We are not accepting candidates coming from recruitment agencies at this moment)#J-18808-Ljbffr
