AWS Data Engineer

Job Summary

We are seeking an experienced AWS Data Engineer with 5+ years of expertise in designing, developing, and maintaining scalable data solutions. The ideal candidate should have strong SQL programming skills, hands-on experience with AWS data services, data warehousing, ETL development, data modeling, and building robust data pipelines.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines for batch and real-time data processing.
• Develop and maintain ETL processes for data extraction, transformation, and loading.
• Write complex SQL queries using Window Functions, CTEs, Aggregate Functions, Joins, and Query Optimization techniques.
• Design and implement data warehouse solutions to support reporting and analytics.
• Perform data modeling and data due diligence to ensure data quality and integrity.
• Build and manage cloud-native data solutions using AWS services.
• Optimize database performance and troubleshoot data-related issues.
• Collaborate with business stakeholders, analysts, and development teams to deliver high-quality data solutions.
• Ensure adherence to data governance, security, and best practices.
  
  

Mandatory Skills

• 5+ years of experience in Data Engineering.
• Strong SQL coding skills (Window Functions, Aggregate Functions, CTEs, Joins, Query Optimization).
• Hands-on experience with Data Warehousing and ETL development.
• Experience in Data Modeling and Data Due Diligence.
• Strong experience in designing and building Data Pipelines.
• Hands-on experience with AWS data services such as:
• AWS Glue
• Amazon Redshift
• Amazon DynamoDB
• AWS Data Catalog/Crawler
• Good understanding of cloud-based data architectures and data integration.

Skills: sql,aws,data warehouse,data modelling