Ready for an adventure with AWS & AI? Join us!
We are one of the fastest-growing AWS Partners in Europe, and our strength lies in the experience gained from delivering innovative IT projects for companies across various industries – from telecommunications and finance to startups.
Here, you’ll have the opportunity to dive deep into AWS, working on migration projects, ensuring security, and exploring the latest technologies in the Data & AI area.
Together, we drive innovation and help businesses unlock limitless possibilities!
You Will:
- Design and implement scalable data pipelines in AWS cloud environment and Snowflake
- Develop data processing solutions using AWS tools such as AWS Glue, Redshift, EMR, Kinesis, Lambda, Athena, S3 Tables
- Build data transformations using dbt or Apache Spark for analytics and data modeling
- Orchestrate workflows using Apache Airflow and AWS Step Functions
- Build and manage data lakes, data warehouses and data lakehousess (Apache Iceberg)
- Implement end-to-end solutions with IaC tools
Preferred Qualifications:
- Minimum 1.5-2 years of experience in data engineering, ETL/ELT development, or related AWS data services
- Strong proficiency in SQL and Python including familiarity with data processing frameworks
- Experience with data pipeline orchestration, data transformation tools and workflow management
- Understanding of data modeling, data warehousing concepts, and big data technologies
- General willingness to help customers while they're struggling with technical problems
- Good understanding of software engineering best practices such as code reviews, source control management, build processes, testing, deployment, release, and change managements
- Fluent Polish and English
We offer:
- Continuous education
- Paid leave
- Sponsored AWS certification
- Training budget
- Medical care package
- Flexible schedule
- Free English classes
- Multisport card subsidy
Stay up to date with us: Follow our blog regularly and participate in the events we organize.