Position: Data Engineer
Company: Railsware
Category: Data Engineer
Experience required: 2y
English level: upper

We're looking for a Data Engineer with strong data infrastructure organisation, monitoring, and maintenance skills for our products, Smart Checklist for Jira and Coupler.io. You will be responsible for building data pipelines, and defining, maintaining and scaling infrastructure in environments like AWS or Google Cloud.

Railsware strives to build advanced approaches to engineering by automating all processes and making them data-driven. You won’t be bored here! The results of your work will be a valuable contribution to the excellence of the company’s internal operations, development of our own products, and the Data Engineering craft itself.

**Our Stack**
SQL, Google Cloud, AWS, Data Studio, GitHub, Terraform, Python, Javascript

**What you will work on**
Helping our products and clients to build sustainable DWH
Setting up ETL processes to automate data collection and reporting
Organizing, structuring, and migrating data from different sources
Maintaining data: monitor if the data is up to date, build new data flows, and update existing ones

**Required skills and experience**
Experience in data infrastructure organisation, monitoring, and maintenance: managing ETL processes, writing tests for data analytics code, and monitoring data consistency
Experience with cloud-based data warehouses (e.g., BigQuery, Redshift, Snowflake)
Extensive knowledge of SQL
Experience with data flow automation tools like dbt, Airflow, Google Cloud, etc.
Fluent verbal and written English
2+ years of experience in similar roles
Skills in building data pipelines and setting up automations between various data sources
Good team collaboration skills
Attention to detail - you always provide accurate results
Ownership skill - you take responsibility and care for the whole project results
Learning on the fly to bring up-to-date technologies and approaches to your work

**Would be a plus**
Data visualization experience using Data Studio/Tableau/Power BI/Grafana or any other tool
Experience with NoSQL databases
Coding experience in Python and/or JavaScript
Experience with Jupyter Notebook or Google Colab
Experience with Git and Git Flow
Experience in infrastructure provisioning and automation tools (Terraform)
Business acumen to define needs for analysis and why it can be beneficial for a product
Good presentation skills to convince decision-makers that your numbers and conclusions make sense