Requirements

Expected technologies

Python

Scala

Spark

Kubernetes

Airflow

SQL

Snowflake Data Cloud

AWS

Java

Docker

Rest APIs

Optional technologies

GoLang

GraphQL

Our requirements

• At least 5 years of commercial experience in developing Python, Java or Scala
• Proficient in working with big data technologies (e.g., Hadoop, Spark and MapReduce)
• Knowledge of database (SQL/NoSQL) technologies (Snowflake, PostgreSQL, MySQL, DynamoDB)
• Experience in working with Kubernetes and stream data processing frameworks frameworks (Flink, Apache Ignite)
• Experience in optimizing SQL queries
• Experience in working with large datasets
• Hands-on experience with orchestration tools like Airflow or similar
• Experience in AWS
• Knowledge of Design Patterns
• Knowledge of version control system: Git
• Proficiency in English, enough to communicate and understand technical documentation
• University degree in Computer Sciences, Telecommunication and/ or similar

Optional

• GoLang
• Experience with GraphQL
• Experience in usage and administration of Amazon Web Services
• Experience in development of micro services/server less solutions
• Knowledge of container technologies like Docker and Kubernetes

Your responsibilities

• Collaborate with data scientists, product managers, and other engineers to refine and improve data processing systems
• Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage data
• Collaborate with data scientists, product managers, and other engineers to refine and improve attribution methodologies
• Participate in R&D projects in the area of Cloud Services
• Establish and follow best coding practices
• Work closely with stakeholders to understand and translate business requirements into technical solutions
• Conduct A/B testing and performance analysis to validate and iterate on attribution models.
• Ensure software quality: create and maintain unit, integration and functional tests, participate in code review
• Report tasks progress