Data Engineer with AWS
Data Engineer with AWS
Responsibilities:
Design and implement scalable batch data pipelines on AWS using AWS Glue
Develop and optimize data transformations using Apache Spark and SQL, ensuring performance and maintainability
Design efficient data models for analytical and reporting use cases (data lakes, data warehouses)
Ensure data reliability, quality, monitoring, and performance in distributed environments
Engage directly with business to understand requirements and translate them into data engineering solutions
Work independently while maintaining effective communication with stakeholders
Requirements:
4–6 years of experience as Data Engineer
Strong SQL and Python skills (production-grade code)
Hands-on experience with AWS (Glue/S3/Lambda/Redshift)
Knowledge of data management principles and best practices, including data governance, data quality, and data integration
Practical experience in managing CI/CD pipelines (GitLab) and IaC (Terraform)
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
Experience designing ETL/ELT pipelines
Experience working in Agile environment
Knowledge of English C1
Nice to have:
Experience with using PowerBI
Offer:
Private medical care
Co-financing for the sports card
Constant support of dedicated consultant
Employee referral program

DCG
DCG to przestrzeń, w której spotykają się potrzeby biznesu i ambicje ludzi. Znamy wartość dobrze dopasowanej współpracy, dlatego pomagamy kandydatom znaleźć środowisko, w którym będą mogli rozwinąć skrzydła, a firmom - z...
Data Engineer with AWS
Data Engineer with AWS