We are looking for a LATAM-based Senior Data Engineer 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:
+5 years of experience as a Data Engineer
Solid knowledge of Python including PyData
First-hand experience operating and/or building solutions using job execution frameworks (e.g. Airflow, Dagster, Prefect)
Experience with MPP databases (e.g. Redshift, BigQuery, Snowflake)
Solid SQL database experience
Experience with BI Tools
Strong written and verbal communication skills in English
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.
Do you bring experience and passion to your work and team? Does seeing a software product take shape and come to life make you happy? If yes, you’d fit right in at Spark Digital and we’d love to talk about the Senior Data Engineer role we’re looking to fill.