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Data Engineer AWS
apreel Sp. z o.o.Warszawa, mazowieckie, Polska10 dni temu
Opis pracyAirflow Prefect Terraform CloudFormation Design, develop, and optimize ETL / ELT pipelines using Databricks and dbt Build and manage data models, data lakes, and data warehouses on AWS Write efficient and scalable code in Python to process large datasets Collaborate with cross-functional teams to understand data needs and deliver solutions Ensure data quality, observability, and performance across the entire pipeline Support continuous integration and deployment of data workflows Implement data governance, security, and compliance best practices Solid experience as a Data Engineer (2+ years for mid, 4+ for senior level) Strong hands-on experience with AWS data services (e.g., S3, Glue, Redshift, Lambda) Proficiency in Python for data engineering tasks Practical knowledge of Databricks and the Spark ecosystem Experience with dbt (Data Build Tool) for data transformation and modeling Familiarity with modern version control and CI / CD workflows (e.g., Git, GitHub Actions, Jenkins) agile scrum
Data Engineer AWS
Miejsce pracy : Warszawa
Technologies we use
Expected
- Glue
- Redshift
- Lambda
- Python
- Databricks
- Spark
- GitHub Actions
- Jenkins
Optional
About the project
We are seeking a skilled and proactive Data Engineer (Mid or Senior) to join our growing data team. In this role, you will design, build, and maintain modern data pipelines and architecture in a cloud-native environment using AWS, Databricks, Python, and dbt. You’ll work closely with analysts, data scientists, and business stakeholders to ensure clean, scalable, and reliable data delivery across the organization.
Your responsibilities
Our requirements
This is how we organize our work
This is how we work
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Data Engineer • Warszawa, mazowieckie, Polska