Data Solutions Engineer
5 dni temu
We're seeking a seasoned Data Solutions Engineer to join our team in Kraków, Poland. As a key member of our data organization, you'll play a crucial role in designing and implementing scalable data solutions that drive business growth and innovation.
At Kitopi, we're revolutionizing the food industry with cutting-edge software solutions and a commitment to data-driven decision-making. Our data engineering practice is built around data verticals and horizontals, ensuring seamless collaboration across teams. As a data engineer, you'll work closely with cross-functional teams, including analysts, ML engineers, BI specialists, data modelers, platform engineers, and backend engineers.
Your primary focus will be on:
- Designing, building, and scaling data ingestion, preparation, modeling, and aggregation in our Snowflake-based data warehouse, adhering to industry best practices and ensuring high-quality data.
- Contributing to the improvement of existing data products and participating in proof-of-concepts for new data products, leveraging your expertise in SQL, analytical data warehouses, and ETL/ELT best practices.
You'll also have opportunities to:
- Collaborate with Horizontal Data Engineers, Data Architects, and Data Modelers to develop scalable data pipelines and maintain infrastructure.
- Work closely with Data Vertical Leaders and Data Analysts to gain domain knowledge and identify opportunities for building effective data solutions.
- Build programmatic solutions using GitLab CI/CD, Docker, Terraform, and Kubernetes, and integrate them into our cloud computing environment.
- Develop a comprehensive view of customer interactions to enable personalization and improve user experience through reliable data.
We're looking for someone with:
- A bachelor's or master's degree in Engineering, Computer Science, Technology, or a related field.
- At least 2 years of hands-on experience in production-quality code development, preferably in a high-growth consumer product company.
- Proficiency in Python and SQL for data processing.
- Demonstrated expertise in SQL, analytical data warehouses (Snowflake preferred), and ETL/ELT best practices at scale.
- Hands-on experience with data pipeline tools like Airflow, Airbyte, and DBT.
- Strong data modeling skills and familiarity with the Kimball methodology.
- Knowledge of testing methods, automation, and good practices within data warehousing.
We offer a competitive salary of approximately $120,000 - $160,000 per annum, depending on experience, as well as a range of benefits, including ESOP, flexible employment options, and top-notch equipment. If you're passionate about data engineering and want to be part of a revolutionary food-tech company, apply now
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