Data Engineer

Responsibilities:

- Engage in the design, development, and upkeep of data models, ETL, and data analysis systems.
- Collaborate with technical and data science team members to ensure business requirements are fulfilled.
- Automate processes using CI/CD.
- Establish data quality control systems.
- Ensure data confidentiality and security compliance.
- Explore new technologies and methodologies.

Requirements:

- Proficient in conversational English, B2 level.
- Minimum of 3 years of experience as a data engineer or in a similar role.
- Mastery of Python for data processing and pipeline development.
- Proficiency with AWS cloud services.
- Familiarity with SQL databases, encompassing design, queries, and optimization.
- Exceptional problem-solving skills and the ability to work independently and within a team.
- Strong communication skills, capable of explaining technical concepts to non-technical stakeholders.

Technologies and Languages:

- Python
- SQL
- AWS cloud
- Git
- Pandas
- CI/CD, Jenkins

Preferred:

- Snowflake Data Warehouse
- Docker
- DBT
- Linux + bash, ssh
- Jupyter
- Parallel computing
- AWS SageMaker
- AWS Lambda

Additional Plus:

- Experience collaborating with Data Science teams
- AWS certification
- Power BI
- R
- Airflow / Spark

What we offer:

- Employment according to the Labor Code, including 100% payment of sick leave and vacation
- Medical coverage (DMS)
- Democratic leadership, flexible start of the working day
- Corporate training programs
- Abundant opportunities for self-realization, professional and career growth.