Chaosgears
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, youll 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:
Paid leave Sponsored AWS certification Free English classes Multisport card subsidy Stay up to date with us:
Follow our blog regularly and participate in the events we organize. #J-18808-Ljbffr
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:
Paid leave Sponsored AWS certification Free English classes Multisport card subsidy Stay up to date with us:
Follow our blog regularly and participate in the events we organize. #J-18808-Ljbffr