Data Engineer

Full time @Tarauli posted 4 months ago

Job Description

Hi there!

We are looking for a Data Engineer for the Sweed product startup, fully remote.

Furthermore, in the Q&A.

What are we doing?

At Sweed, we offer a comprehensive cannabis retail solution with a wide range of features, including powerful POS functionality, in-depth analytics, marketing and promotional tools, efficient inventory management, and more. Our progressive web app can be easily accessed through the tablets already available in your store without any additional hardware required.

Since our establishment, we have been committed to creating an all-in-one system tailored to the specific needs of large cannabis retailers. Today, we are proud to be a market leader, owing much of our success to our signature killer feature – providing a full spectrum of software in one solution.

Why are we doing this?

At our company, we are driven by our passion for the medicinal potential of plants. Cannabis possesses unique properties that can help alleviate chronic pain, anxiety, depression, epilepsy, multiple sclerosis, glaucoma, and sleep disorders.

Although a significant amount of stigma is associated with this area, we firmly believe these plants possess unique properties and have helped countless people improve their quality of life. This rapidly growing industry presents immense potential for career advancement and personal fulfillment, and we are excited to explore how we can contribute to this dynamic field.

How old is the project? What stage is it at?

The product is already 4 years on the market and in the active development stage.

Our current priority is establishing and maintaining strong customer trust, which has driven the development of our delivery processes that allow us to launch new features daily. Given the highly specialized nature of the cannabis retail market, we are committed to rapidly meeting the evolving needs of our customers. Furthermore, the market’s unique legal framework presents challenges with significant variations in state-level taxes, delivery regulations, and other factors.

Stack: Python, CubeJs, RabbitMQ, Clickhouse

Who are we looking for?

  • Experience of 5-7 years in a product company.
  • Experience with services architecture.
  • Experience with high-load projects (real-time workload).
  • Experience with data lakes, data warehouses, and similar systems.

What to do in the project? 

  • Build the platform architecture for data collection, storage, and analysis.
  • Collaborate with DevOps on infrastructure tasks.
  • Develop data processes: ETL, scripting, and tooling for data collection and loading. Integrate data from various sources.
  • Merge data from two companies.
  • Data quality: Implement data quality checks and ensure accuracy, consistency, and reliability of data throughout the data pipeline.
  • Work on query optimization and performance.

Do you need English, and at what level?

Upper-Intermediate and higher.

Why was the position opened?

It is a new role for the company, related to its growth.

Team size?

Currently, we have a team of around 150 people.

The conditions:

Is there a trial period, and how long does it last?

The trial period lasts 3 months.

What is the work schedule?

Flexible working hours. It depends on the meeting schedule, as the team works in the GMT+3 time zone, while the Board level is in the GMT-5 and GMT+1 time zones.

Is it possible to work remotely?

There is an opportunity to work fully remotely, we are a remote-first company, and we don’t have offices.

What currency is the salary paid in, and what is the form of employment? 

Salary in dollars (employment under a B2B contract with the USA).

The number of vacation days?

20 working days per year.

The number of sick leave days?

3 days.

Social package (medical insurance, other):

Medical insurance becomes available after the trial period.

The process:

Interview in English? – Partially.

How many stages of the interview?

  • Intro call with a recruiter (1 hour);
  • Technical interview (1-1.5 hours);
  • Cultural interview (1 hour) – optional.

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