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