Data Engineer with AWS

Data Engineer with AWSResponsibilities:Design and implement scalable batch data pipelines on AWS using AWS GlueDevelop and optimize data transformations using Apache Spark and SQL, ensuring performance and maintainabilityDesign efficient data models for analytical and reporting use cases (data lakes, data warehouses)Ensure data reliability, quality, monitoring, and performance in distributed environmentsEngage directly with business to understand requirements and translate them into data engineering solutionsWork independently while maintaining effective communication with stakeholders Requirements:4–6 years of experience as Data EngineerStrong 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 integrationPractical 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 issuesExperience designing ETL/ELT pipelinesExperience working in Agile environmentKnowledge of English C1Nice to have:Experience with using PowerBI Offer:Private medical careCo-financing for the sports cardConstant support of dedicated consultantEmployee referral program