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
- Work in a dynamic international team
- The opportunity to collaborate through individual entrepreneurship/self-employment for colleagues outside of Russia
- Participation in foreign projects
- Necessary equipment for work
- Corporate training programs
- Wide opportunities for self-realization, professional development, and career growth
- A democratic approach to processes and flexible start times
- The option to relocate between our international offices.