Middle strong Data Engineer

We are looking for an experienced Data Engineer to join a long-term B2C project. The main focus is on building Zero ETL pipelines, as well as maintaining and improving existing ones.

Responsibilities:
- Build and maintain scalable Zero ETL pipelines.
- Design and optimize data warehouses and data lakes on AWS (Glue, Firehose, Lambda, SageMaker).
- Work with structured and unstructured data, ensuring quality and accuracy.
- Optimize query performance and data processing workflows (Spark, SQL, Python).
- Collaborate with engineers, analysts, and business stakeholders to deliver data-driven solutions.

Requirements:
- 5+ years of experience in Data Engineering.
- Advanced proficiency in Spark, Python, SQL.
- Expertise with AWS Glue, Firehose, Lambda, SageMaker.
- Experience with ETL tools (dbt, Airflow etc.).
- Background in B2C companies is preferred.
- JavaScript and Data Science knowledge are a plus.
- Degree in Computer Science (preferred, not mandatory).

We offer:
1) Paid vacation and sick leave 

2)We provide the equipment you need to work comfortably (if required)

3)We cover 50% of courses if you want to grow professionally 

4)Regular salary reviews based on your performance 

5) Competitive salary, depending on your experience 

6) Always on-time payments — no delays 

7)A normal, supportive team without unnecessary bureaucracy