Data Engineer (AWS, dbt, Redshift)
Indexed description
In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Data Engineer to design, build, and maintain scalable ELT pipelines and enterprise data warehouse solutions within a cloud-based analytics environment. This role requires expertise in data warehousing, Amazon Redshift, Amazon S3, dbt, Apache Airflow, and dimensional modeling principles.
Project information:
- Type of project: IT Services
- Office location: Poland
- Work model: Remote from Poland
- Budget: 110 - 130 PLN net/ h - b2b
- Project length: till the end of 2027, possible to extend it
- Only candidates with citizenship in the European Union and residence in Poland
- Start date: ASAP
Project scope:
- Develop and maintain ELT pipelines from source systems (Cloudera/MinIO) to Amazon S3 and Amazon Redshift
- Build and maintain data warehouse layers, including Staging, Intermediate, Business View, and Dimensional Models
- Implement fact tables (Transactional, Accumulating Snapshot, and Periodic Snapshot) and Type 1 & Type 2 Slowly Changing Dimensions based on established data models
- Develop data transformations using dbt and orchestrate workflows using Apache Airflow
- Write, optimize, and troubleshoot SQL queries, including inner, self, and outer joins
- Work with Amazon Redshift for data loading, transformation, and performance optimization
- Manage and process data stored in Amazon S3 and Apache Iceberg tables on the MinIO platform
- Support the migration of data pipelines from Cloudera to the MinIO platform
- Collaborate with architects, data modelers, and business teams to deliver reliable and high-quality data solutions
Competence demands:
- Strong hands-on experience with Amazon S3, Amazon Redshift, dbt and Apache Airflow
- Advanced SQL (Inner, Self, Left, Right, and Full Outer Joins)
- Strong understanding of Data Warehousing concepts, Fact and Dimension implementation, Slowly Changing Dimensions (Type 1 & Type 2), ETL architecture best practices
- Working knowledge of Kimball Dimensional Modeling
- Experience with Cloudera, MinIO, and Apache Iceberg
- ELT/Data Pipeline Development
- Very good English skills
We offer:
- Remote working model
- Dynamic and innovation-driven engineering environment
- Full-time job agreement based on b2b
- Private medical care with dental care (covering 70% of costs)
- Multisport card (also for an accompanying person)
- Life insurance
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