Position: Data Engineer for AdTech / MarTech startup
Company: AdAI Tech
Experience required: 2y
English level: upper

**About us**:
We are a small yet rapidly-growing digital customer acquisition and monetization platform, fueling new advertiser growth at scale across multiple industry verticals.

The ideal candidate is a team player who can build simple and elegant solutions to big problems involving expansive datasets and distributed systems, focusing on optimized performance and scale. This person can also manipulate and leverage datasets to extract valuable insights coming from millions of users, external APIs, and data feeds. 

**In essence, we are**: 
1. Self-funded. Our product already pays company bills. It’s not another startup with a hazy future.
2. Goals-oriented. We don't have processes just for processing processes.
3. Flat-structured. We all have our domains of expertise and are not going to build verticals or have “vice-presidents” and “chief-something-officers”.
4. Remote-first with the HQ at the USA.
5. Bullshit-free. We all used to work in big companies, and we don’t want to become another white suit corporation.
6. Experience-driven. We have done this before, and we are replicating the success in the new company. We don’t lurk in the dark searching for another niche.

**Your mission will be**:
1. Design, build and maintain our Data Platform. 
2. Prototype, develop, deploy, and debug data ingestions and data management services
3. Help businesses to get insights. It's not about being a "human-to-SQL" transpiler, but building BI dashboards and automation. 
4. Participate in product development. We want you to be a go-to person for all data-related stuff and the rest of things as well if you feel interested.
5. Implement automated data validations like Great Expectation or anything similar.
6. Help data scientists on doing their mumbo-jumbo.

**Our current stack**: Docker, Kubernetes, Python (FastAPI, Pydantic, static typing checks enforced with MyPy, code style enforced by Black and Flake8), managed PostgreSQL 13, Superset for BI, Prefect for ETL pipelines, CI/CD pipelines in place with Terraform / Helm under the hood, all is spinning on Azure, but we use only K8S and DBs from there. 

**Your profile**:
1. Experience with moving, storing, and processing big data.
2. Ability to design the future-proof data infrastructure from scratch.
3. Knowledge of PostgreSQL.
4. Knowledge of any programming language. We have Python, but any past experience is fine for us.
5. Self-organization and autonomy. You won't have a manager, timesheets and our JIRA is as simple as a Kanban board.
6. Good English. No poems or novel writing is required, but you'll have to understand the goal and explain the route to it :)

**What we offer**:
1. Full flexibility. We don't supervise you, track your uptime, or whatever. We only help when you ask for it. 
2. We don't have cookies, milk, and fruits (yet), but with our competitive salary, you'll be able to afford them for sure :D
3. No endless calls. We all prefer to make cool things rather than having another boring meeting in our underwear.
4. Work from home. If you are more into "work from coworking", we pay for it.
5. Brand new MacBook M1 and anything else we can buy legally for you to stay efficient.
6. Paid training courses and education. 
7. Individual development plan. We understand the importance of your growth, and we will work on that together from day one.
8. Soaking together in rainy Lviv and chilling in sunny California.