Position: Data Engineer
Company: Pixelteh
Category: Data Engineer
Experience required: 2y
English level: intermediate

We are looking for a **Data Engineer** to join our single full-stack data team of Big data products. The ideal candidate must have a strong package of soft skills oriented to solve problems with data on one's own. The ideal candidate will have a solid knowledge of languages like SQL, and Python and how data pipelines work in Cloud-based architecture.
Your main tools will be SQL, rarely Python. You will work with the Google Cloud Platform and deploy changes to it. No data parsing from sites, just straightforward work with pipelines of data you receive from some trackers, partners, analytics tools, etc.
You will be supported by the lead of the team but in the future, you will become a king of the company's data pipelines.

**Key Responsibilities:**

- Design and implement efficient data pipelines to support data-driven decision-making and business intelligence process
- Develop and maintain custom dashboards using data from company databases to visualize key performance metrics
- Normalize, denormalize, and aggregate data from different sources into scalable datamarts
- Maintaining existing data pipelines and datasets
- Investigate what's wrong with some pieces of data and fix the problems
- Deploy changes, fixes, and new features to Cloud services and internal tools

**Desirable candidate's experience:**

- 3-4 years of experience in SQL and Python programming
- Experience with containerization and orchestration tools such as Docker and Kubernetes
- Practical skills in using Cloud tools
- Practical skills in working with analytical databases like Hadoop variations, Google Bigquery, Amazon Redshift
- Level of English B1+

**Will be a plus:**

- Practical experience in Adverity
- Experience with Google Cloud Platform and its components like BigQuery, App Engine, Pub/Sub, Logs, Vertex AI 
- Experience with web technologies such as Header of requests and URL structure
- Domain knowledge of buying and selling traffic
- Basic experience in Machine Learning
- Basic experience with BI Tools like Tableau, Power BI, Google Looker