AWS Data Engineer - ETL/SQL/Python

Job Description

Job Responsibilities Design, develop, and maintain scalable data pipelines using AWS Glue and other ETL tools. Optimize and manage data models in Amazon Redshift and RDS for performance and cost-efficiency. Write complex SQL queries for data extraction, transformation, and reporting needs. Work extensively with Athena and Python for data analysis and transformation. Leverage AWS serverless services (Lambda, DMS, Glue, etc.) to build end-to-end data workflows. Collaborate with stakeholders to understand data requirements and deliver actionable insights. Manage and provision infrastructure using AWS CloudFormation. Ensure best practices in security, monitoring, and data governance. Required Skills Programming : Python, PySpark AWS Services AWS Glue Amazon Redshift AWS Lambda AWS DMS (Database Migration Service) Amazon RDS AWS Athena AWS CloudFormation Database & Querying : SQL, Data Modeling ETL Development : Designing and implementing ETL pipelines Preferred Qualifications Experience with data lakes and data warehouse architecture. Familiarity with CI/CD processes for data infrastructure. Strong analytical and problem-solving skills. Ability to work independently in a fast-paced environment (ref:hirist.tech) Show more Show less