— 5+ years of software development experience- ideally at a product company.
— 3+ years of experience building and supporting scalable as well as fault-tolerant batch, real-time and/or near-real-time data pipelines.
— 3+ years of experience with data-flow programming tools such as Apache NiFi, Apache Beam, etc.
— Strong knowledge of data modeling experience with both relational and NoSQL databases
— Hands-on experience with data warehouses, preferably AWS Redshift
— Expert knowledge of SQL and Python.
— Ability to work independently to deliver well-designed, high-quality, and testable code on time.
— English — upper-intermediate/advanced

— Working with big data ecosystem tools such as Kafka, Protobuf/Thrift, and Spark/Flink/Storm 2.0.
— Understanding and hands-on experience with Kubernetes
— Open source projects on GitHub

— Silicon Valley Experience;
— 3 weeks of paid vacation and 2 weeks of days off+sick leaves;
— Hackers’ days;
— Corporate retreats;
— Paid lunches and parking;
— Covering professional learning: conferences, trainings, and other events;
— Sports activities compensation;
— English Speaking Club with native speakers;
— Medical insurance;
— VGS stock options.

— Create and maintain optimal data pipeline architecture.
— Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
— Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
— Maintain a high culture of code — rigorous testing and automation. Improve test coverage of code that you do not own.
— Be proactive and innovative. We rely on your feedback to build up the product expertise.
— Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.