AWS Data Engineer

We are looking for an experienced and highly skilled AWS Data Engineer – Lead to join our growing data engineering team. The ideal candidate will have deep expertise in designing, building, and optimizing scalable cloud-based data platforms on AWS.

Requirements

• Design, develop, and maintain scalable ETL/ELT pipelines using AWS cloud technologies.
• Build and optimize large-scale data processing frameworks using PySpark and distributed computing methodologies.
• Develop robust data ingestion and transformation workflows using AWS Glue, Lambda, and other AWS-native services.
• Manage and optimize data storage and warehousing solutions using Amazon Redshift and Amazon S3.
• Create efficient SQL queries, stored procedures, and performance tuning strategies for large datasets.
• Lead end-to-end implementation of cloud-based data engineering solutions and ensure adherence to best practices.
• Collaborate with business stakeholders and technical teams to understand data requirements and translate them into scalable solutions.
• Ensure data quality, integrity, governance, and security across the data platform.
• Monitor, troubleshoot, and enhance existing data pipelines for improved reliability and performance.
• Participate in architecture discussions and contribute to cloud modernization initiatives.
• Mentor junior and mid-level engineers by providing technical guidance, code reviews, and best practices.
• Work in Agile development environments and contribute to sprint planning, estimations, and delivery timelines.