We’re looking for a Senior Data Engineer to join a long-term project. The ideal candidate is highly experienced in building and maintaining scalable data pipelines, cloud infrastructure, and data visualization solutions. You'll work closely with analysts, developers, and business stakeholders to translate business needs into efficient data engineering solutions.
Remote | CET hours
Part-time | 35 hours/week
Long-term | 1+ year
Language: Upper-intermediate or higher
Tech requirements
Languages & Tools: Python, SQL, NoSQL
Databases: PostgreSQL, MySQL, MongoDB, DynamoDB, Redshift, RDS
Cloud & DevOps: AWS (S3, Lambda, Glue, CDK, CloudWatch, IAM, KMS), Docker, Git
Workflow & Orchestration: Apache Airflow, dbt
Visualization: Tableau, Power BI, Plotly, Dash
Data Validation: Great Expectations
Responsibilities
Develop and maintain data pipelines and ETLs
Support the development and maintenance of data visualization solutions for the developed data products
Build and maintain cloud infrastructure for multiple solutions using various AWS services through AWS CDK written in Python
Build reusable components for multiple solutions
Design, build, and implement data quality checks
Gather and translate business requirements into technical requirements
Implement Data Engineering best practices
Document all developed components
Assist in solution architecture design and implementation
Build queries to solve analytical questions
Ensure information security standards are always maintained
Design, build, and maintain robust and scalable data models across various database vendors and types, including SQL and NoSQL
Stages
Pre-screen call
Internal tech screen with Sloboda Studio
Technical Interview with the client
Final Interview with the client
Got questions?
Contact our recruiter
Valeria Nazarenko
Recruitment Team Lead
