We are seeking skilled AWS Data Engineers to design, build, and optimize cloud-based data platforms. You will work on large-scale data pipelines, ETL/ELT processes, and data modernization projects using cutting-edge AWS services. This is an opportunity to work with big data technologies, contribute to data-driven decision-making, and help shape our data infrastructure on the cloud.

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS Implement data processing solutions using AWS Glue, EMR, Lambda, Step Functions, and S3 Build and optimize data lakes and data warehouses for performance and cost Develop and maintain data models, scripts, and jobs using Python, PySpark, and SQL Implement data ingestion, transformation, and orchestration using Airflow and Step Functions Ensure data quality, reliability, and governance across platforms Collaborate with data scientists and analysts to enable advanced analytics and AI/ML workflows Participate in data modernization and cloud migration projects Implement CI/CD pipelines and Infrastructure as Code (IaC) using Terraform Monitor and troubleshoot data pipelines using CloudWatch and logging tools

4+ years of experience as a Data Engineer with strong AWS cloud exposure Proficiency in Python, PySpark, and SQL Hands-on experience with AWS services: Glue, S3, Lambda, EMR, Step Functions, RDS, Athena, CloudWatch Experience with ETL/ELT design, data modeling, and data warehousing concepts Knowledge of Git/GitHub and version control best practices Understanding of big data technologies and distributed processing