Data Engineer (AWS)

Market insights

Stack

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

About the Role We are looking for a highly skilled Data Engineer with strong AWS cloud expertise to design, build, and maintain scalable data pipelines and data platforms. The ideal candidate will have experience working with large-scale datasets, cloud-based data solutions, ETL/ELT processes, and modern data engineering technologies. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows. Build and optimize data solutions on AWS cloud platforms. Develop and manage data lakes and data warehouses for analytics and reporting. Integrate data from multiple sources, ensuring data quality, consistency, and reliability. Implement data modeling, transformation, and validation processes. Optimize data processing jobs for performance, scalability, and cost efficiency. Collaborate with business stakeholders, analysts, and data scientists to understand data requirements. Monitor, troubleshoot, and resolve data pipeline and infrastructure issues. Ensure data governance, security, and compliance standards are followed. Create and maintain technical documentation for data architecture and processes. Required Qualifications 4+ years of experience in Data Engineering. Strong hands-on experience with AWS services such as S3, Glue, Redshift, EMR, Lambda, Athena, IAM, and RDS. Proficiency in SQL and data modeling concepts. Strong programming skills in Python or PySpark. Experience building and managing ETL/ELT pipelines. Hands-on experience with big data

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.