Our client is a data consulting company that was created to enable businesses of any size to achieve higher efficiency by implementing cutting-edge custom IT solutions.
Data Engineer
Tasks
Collaborating closely with analysts, data scientists, and business stakeholders to gather and understand data requirements
Developing reliable, scalable data pipelines using Python and modern cloud-based tools
Designing efficient and well-structured data architectures on platforms like Snowflake, Databricks, and other cloud data solutions
Applying best practices in data modeling, ensuring high data quality, and optimizing performance
Empowering clients and partners to make data-driven decisions by enabling fast and dependable data access
Requirements
2-5 years of professional experience working as a Data Engineer
Proficient in Python with strong programming and scripting capabilities
Practical experience with Databricks or comparable cloud-native big data platforms
Good understanding of Snowflake or similar cloud-based data warehouse solutions (AWS, Azure)
Knowledge of ETL/ELT workflows and familiarity with data pipeline orchestration tools (e.g., Airflow, dbt, etc.)
A problem-solving attitude with a strong interest in scalable data architecture and engineering best practices
Offers
Opportunity to work from home / flexible remote work options
Supportive and friendly team environment
Great opportunities for professional growth in the data field
Involvement in exciting and impactful projects
Continuous learning and skill development encouraged
