Jobs → Data & Analytics → AWS Data Engineer

About the Role We are seeking an experienced AWS Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data platforms for CloudPeak Data Solutions. Key Responsibilities • Design and implement scalable data ingestion and transformation pipelines on AWS • Build and maintain data lakes using Amazon S3 and analytical platforms such as Amazon Redshift • Develop ETL/ELT workflows using Python, SQL, and AWS-native services • Model and curate datasets for analytics, reporting, and downstream applications • Orchestrate workflows using AWS Step Functions or Apache Airflow • Optimize pipeline performance, storage, query efficiency, and cloud costs • Implement data quality checks, logging, monitoring, and error handling • Apply AWS security practices, including IAM, encryption, and access controls • Collaborate with analytics, application, and business teams • Maintain reusable code, technical documentation, and engineering standards Requirements • 9+ years of professional experience in data engineering or related fields • Strong experience building data pipelines on AWS • Proficiency in Python and SQL • Hands-on experience with Amazon S3, AWS Glue, Redshift, Athena, or EMR • Experience developing batch and incremental ETL/ELT pipelines • Understanding of data modeling, partitioning, and formats such as Parquet and JSON • Experience with AWS Step Functions or Apache Airflow • Knowledge of data quality, troubleshooting, IAM, and encryption • Familiarity with Git and Agile development practices