Descripción:

We are looking for Lead and Senior Data Engineers to work with one of our US-based clients, which provides the world’s first all-in-one IT support solution for small and midsize offices delivered in real-time. Through a chat interface, personalized service, and flat-rate pricing, they keep their clients' email, computers, Wi-Fi and software running smoothly at a fraction of the cost and headaches normally experienced with traditional managed service providers. Our client is building a team with Python and Data Engineering experience. The team will be in charge of developing a middleware to communicate with chat applications and various data storages. The infrastructure will be built with AWS. Provisioning will be conducted with Serverless Framework and Terraform. The client is expanding its platform which integrates Slack, Microsoft Teams and a home-brewed ticketing solution. Our team is reengineering existing features and adding new ones to improve customer satisfaction.

You are the one if you have:

+3 years of experience as a Data Engineer

Knowledge of Python

Experience working with modern data warehouses such as Redshift and Snowflake

Experience building and maintaining data pipelines

Ability to support analytics and machine learning projects

Basic understanding of ML and ability to analyze data, understand product and business goals 

Strong written and verbal communication skills in English

Experience working with distributed teams and foreign clients 

Familiarity with Agile Scrum/Kanban software development methodologies

Our Engineers bring the vision and goals of our clients to life by bringing experience and passion to the software development process. Spark Digital Engineers take pride in elegant and robust solutions that bring peace of mind to those who rely on them.