Data Engineer Offline

Requirements:

5+ years of software development experience- ideally at a product company.

3+ years of experience architecting, building and supporting scalable as well as fault-tolerant batch, real-time and/or near-real-time data pipelines.

3+ years of experience working with big data ecosystem tools such as Kafka, Protobuf/Thrift, and Spark/Flink/Storm 2.0.

3+ years 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.

Knowledge and practical experience with Docker, Terraform/CloudFormation, and the AWS stack: EC2, Kinesis, Lambda, etc.

Ability to work independently to deliver well-designed, high-quality, and testable code on time.

English - upper-intermediate/advanced

Would be a plus:

Java or Golang experience

Experience working with CI/CD tools (such as CircleCI, Jenkins, etc.).

Understanding and hands-on experience with Kubernetes

Open source projects on GitHub

Responsibilities:

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.

What’s in it for you:

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.