OPPORTUNITY

Our team shares a passion for data and smart solutions solving hard problems. You will be one of the early employees of a fast-growing startup.

As an early employee you will have a big impact on how to design the company’s workflows and processes. We are dynamic, flexible and open to new ideas and value and hire for curiosity, integrity, excellence, respect, and contribution.

This position is in the Ukraine, but can work remotely.

Our tech stack/environment includes: Hadoop/Spark, Java, Lucene, Elastic, Javascript, Postgres, AWS, Git.

Required Skills and Qualifications

— 3+ years of data engineering, data processing experience
— 5+ years of backend engineering experience (Java)
— Experience with Postgres 10+, Lucene & AWS Elasticsearch, cluster and cloud computing (Hadoop, Spark)
— Experienced in creating highly available systems
— Experience in designing architecture and advanced analytics operations
— Strong skills in data analysis, information assessment, and data quality review
— Experience with AWS environment (EC2 instances, Elastic Beanstalk applications) and Git
— English level Intermediate or higher
— A sense of urgency and ownership over the product

— Working knowledge, interest and experience with data science / machine learning tools and technologies (NLP, and others)
— High-bandwidth, high-energy, competitive, and creative individual
— Driven to outperform; dedicated to self-improvement
— Experience in a remote SCRUM team involving daily meetings, groomings, plannings, etc

— Work on product used by worlds largest financial institutions, transforming the US real estate industry
— Remote work and flexible working hours
— An opportunity to work from anywhere — we are headquartered in San Francisco with employees in California, Ukraine, Philippines and India
— Compensation in USD, good bonuses, equity in the company
— Business trips to the US
— Great management with no bureaucracy
— Very lean and highly professional team, daily standups include CTO and CEO

— Build industry-transforming product
— Build data pipelines
— Clean and prepare data, develop data processing algorithms