AWS Data Engineer

We are looking for a highly skilled Data Engineer (AWS) to join our growing data engineering team. This role involves designing, developing, and optimizing scalable data pipelines on AWS to support analytics, reporting, and business intelligence needs. You will be working with modern cloud-native services, migrating legacy data systems, and ensuring reliable, secure, and high-performance data flows.

If youre passionate about solving complex data problems, automating workflows, and building next-generation data platforms in the cloudthis opportunity is for you!

Key Responsibilities :

• Design, build, and optimize ETL / ELT pipelines using AWS Glue, Redshift, S3, and Lambda.
• Migrate legacy data systems (SQL Data Warehouse & SSIS ETL jobs) into modern AWS data services.
• Automate data workflows including ingestion, transformation, partitioning, and lifecycle management.
• Ensure data solutions are reliable, scalable, and cost-efficient with performance tuning and monitoring.
• Work closely with data architects, analysts, and stakeholders to deliver clean, well-modeled, and high-quality datasets.
• Debug, troubleshoot, and document data pipelines to maintain high availability.
• Contribute to the best practices, standards, and architecture guidelines for cloud-based data :
• 3+ years of hands-on experience as a Data Engineer, preferably with recent AWS cloud projects.
• Strong expertise in :

1. AWS Glue (ETL jobs, crawlers, catalog)

2. Amazon Redshift (data loading, schema design, performance optimization)

3. Amazon S3 (data partitioning, lifecycle management, storage optimization)

4. AWS Lambda (serverless data processing)

(ref : hirist.tech)