Senior Data Engineer

Very Good Security (“VGS”) was founded by highly successful repeat entrepreneurs and is backed by world-class investors like Goldman Sachs, Andreessen Horowitz, and Visa. We are building an amazing global team spread across four cities. As a young and growing company, we are laser-focused on delighting our customers and hiring talented and entrepreneurial-minded individuals. 
We’re looking for a Senior Data Engineer with an equal flair for creative problem solving, new technologies enthusiasm, and desire to contribute to product development.

Responsibilities:

• Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging various technologies and big data tools.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
• Collaborate with data analysts and scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering and machine learning.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
• Oversee junior team members activities and help with their professional grows.

Requirements:

• 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, streaming, real-time and/or near-real-time data pipelines. 
• 3+ years experience with one or more data-flow programming frameworks such as   Apache Beam,  Flink,  Argo, Airflow, Prefect, 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.
• Capable of mentoring more junior developers.
• English - upper-intermediate / advanced

Would be a plus:

• Working with big data ecosystem tools such as:
- Singer, Airbyte, etc.- Apache Kafka, AWS Kinesis- Kafka Streams, Streamz, Storm 2.0, etc.- Apache Hive, Spark, Iceberg, Presto, AWS Athena, etc.- Protobuf/Thrift- PostgreSQL
• Understanding and hands-on experience with Kubernetes
• Open source projects on GitHub

What’s in it for you:

• Silicon Valley Experience;
• 3 weeks of paid vacation and 2 weeks of days off+sick leaves;
• 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.