Position: Data Engineer
Company: Solid
Category: Other
Experience required: 1y

Solid is a fintech company that provides businesses with a smart full-cycle solution for accepting online payments worldwide. Together with international payment systems and major market players, we develop complex client-oriented services. Our advanced technology complies with the highest Payment Card Industry Data Security Standard, having fully automated workflows and ease of integration.

We are looking for a Data Engineer to join one of our Products Teams.

The Data Engineer will be part of the Analytics and Data team with the aim to build a scalable and reliable Data Warehousing and Analytics ecosystem. You will work closely with business, engineering teams to gather requirements, hence building optimal data transfer, data modeling, and analytics solutions. This is a hands-on role with a good understanding of underlying infrastructure concepts, data warehousing best practices as well as good knowledge of efficient analytics on large data sets.

What you’ll do:
— Design, implement, and continuously expand pipelines by performing preprocessing, cleaning, and verifying activities
— Identify opportunities to automate and improve existing data processes that bring high leverage to yourself and Solid
— Develop ETL/ELT data pipelines that are easy to maintain and monitor.
— Work effectively with multiple teams to deliver world-class analytics solutions

Who you are:
— Have experience of 1+ year working with data
— Excellent in the communication of complex data or technical functionality
— Fluency in Python, as a primary language we use
— Ability to write complex SQL for processing raw data, data transformations as well as data validations
— Experience in working with API’s to collect or ingest data in batch or real-time

What will be a plus:
— Experience with AWS technologies stack including S3, Redshift, RDS, etc.
— Experience with data integrations (python, spark. etc.), data warehousing (redshift, snowflake, etc.), analytics (Tableau, Mode, Looker, etc.), and scheduling tools (Airflow)
— Good know-how on ways of integrating Machine Learning into real-world systems
— Mathematical or computer science background

Our Company is a unique place for development and growth:

Comfortable work environment and flexible work hours
An excellent office with a summer terrace, lounge zone, kitchen, and PlayStation located within an 8-minute walk from Kontraktova Ploshcha metro station. There are many plants and a special ventilation system in our offices. We provide 20 days of paid vacation and flexible work hours.

Health care and Sport
We provide breakfasts, lunches, unlimited fruit, snacks, smoothies, and yogurts in the office. The office also has an in-house corporate doctor. We provide employees with health insurance. Free training for running, football, basketball, volleyball, and yoga with professional coaches is available to staff. Corporate discounts for gym membership and sponsorship for participation in sports competitions are also accessible.

Learning and Development
We have Business and Management Schools for company employees. We provide an online library and free English lessons as well as access to paid conferences, training, and seminars.

Loud parties
Every summer and winter, we organize parties with crazy line-ups at cool locations. Every month each project meets for a get-together, and after a quarterly report, there is a party.