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Senior Data Engineer
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Senior Data Engineer
3 months ago
Alexi is an AI platform for litigators. We are on a mission to transform the legal services industry by building cutting edge AI-powered solutions. We are a team of software engineers, lawyers and designers working hard to achieve our long-term mission.We're hiring for multiple Senior Data Engineering roles design and develop data structuring, processing platforms and frameworks for Data Science, Engineering and Machine Learning. This is a very hands-on role. You will be expected to innovate, code effectively, help design cloud architecture and collaborate with the team in making technical decisions, developing solutions that meet good data processing and governance standards.Responsibilities:Develop real-time and batch processing data processing frameworksDevelop high ROI data structuring methodologies and systems, to process millions of text documentsEnsuring high quality data ingestions with reliable logging and metricsContribute to designing architectural improvements to an event-driven microservices architectureWriting and designing automated unit and integration test strategiesWorking with a high performing senior engineering teamPerforming code reviews and providing constructive feedback for other team membersStay updated with the latest data engineering tools, pipelines, databases, strategies and cloud integrationsQualifications:Bachelor's degree in Computer Science/Engineering or equivalent5+ years of experience building cloud-native data engineering pipelinesExpert level Python programming and design patternsExperience structuring unstructured text data and documentsHands-on experience with cloud-native databases leveraging semi-automated dev-ops to your advantagePrevious experience structuring and ingesting frequently updating "live" documentsExperience using and deploying ML models for optimized distributed inference during batch processing of large amounts of text dataDemonstrated experience in Micro-services Architecture, Data Integration Design, Data Streaming (AWS Kinesis, Lambda. Apache Kafka), In-memory & distributed caching and Data ArchitecturesProficient in writing streaming applications and integration servicesStrong understanding of data storage principles, data formats (Avro, Parquet, Delta) and writing ETLs for batch pipelines (Spark, Airflow etc.)Strong suite of skills in software development with focus on code refactoring, design patterns, design-driven development, CI/CD and highly scalable applicationsHigh growth expectations for yourself and your colleaguesAdditional Preferred Qualifications:Effective technical communication skillsPrevious experience working with machine learning teams in the NLP domainKnowledge/experience in engineering high performance neural semantic systems, knowledge graphs, and dialogue systemsDemonstrated drive for self-development and continuous learningLocated in the Greater Toronto Area, and available for hybrid work environmentCulture:We are a dynamic team of engineers bringing together iterative NLP model development, high performance systems engineering and effective software development. Much of our work is highly experimental. We are not perfectionists, we move fast, and are not afraid to be on the learning curve. A willingness to learn and a can-do attitude are must-haves to survive and thrive in this team.As a startup we often have to find a balance between speed, quality and cost of development. This often requires us to think creatively and even invent what doesn’t exist. We are ambitious, we take risks, and we embrace failure in a judgment free but accountable environment.We work in a trust-based, mission-driven, goal-oriented, fully-remote work environment. We enable each other, but also consciously protect our time to deliver high quality work, to help create a thriving innovation culture.Benefits:Competitive Stock OptionsCompetitive PayUnlimited vacation days (with minimum mandatory 3 weeks paid time off)Additional paid time off winter holidays (last week of December)Company-wide innovation days – dedicated to projects you’d like to innovate on within the context of the work the company is doing16" MacBook Pro dedicated for work, and any other equipment that enables you for workHybrid work environment (flexible). Easy public transit access to office in downtown TorontoRecruiting and growing your own teamNo red tape, no unnecessary processes, accelerated learning and growth.Health benefitsWork for a high growth startup, wear multiple hats, make a real impact. We are building something legit and impactful, that can truly change the world for good.