Lead AWS Data Engineer

Role Overview

We are looking for a highly experienced Senior Data Engineer to design, build, and optimize scalable cloud-based data platforms that power enterprise analytics, reporting, and AI-driven initiatives.

What You Will Do

Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data integration frameworks. Build cloud-native data solutions using AWS services such as Glue, Lambda, Redshift, Aurora, OpenSearch, Step Functions, SNS, and S3.

Why It Might Be a Fit

8–10 years of experience in Data Engineering, Data Warehousing, and Cloud Data Platform development. Strong expertise in AWS cloud services, including Glue, Lambda, Redshift, Aurora, OpenSearch, Step Functions, SNS, and S3.

Requirements

• 8–10 years of experience in Data Engineering, Data Warehousing, and Cloud Data Platform development
• Strong expertise in AWS cloud services, including Glue, Lambda, Redshift, Aurora, OpenSearch, Step Functions, SNS, and S3
• Advanced proficiency in Python and PySpark for large-scale data processing and transformation
• Strong command of SQL and PL/SQL development and optimization
• Extensive experience building ETL/ELT pipelines, data ingestion frameworks, and integration solutions
• Deep understanding of data warehousing concepts, dimensional modeling, and database architecture
• Experience working with structured, semi-structured, and unstructured datasets
• Strong knowledge of modern data architectures, including Data Lakes, Data Warehouses, and Lakehouse environments
• Familiarity with workflow orchestration, event-driven architectures, and distributed data processing systems
• Experience implementing data governance, quality frameworks, and security best practices
• Strong analytical thinking, problem-solving skills, and attention to detail
• Excellent communication and stakeholder management abilities
• Experience supporting AI, Machine Learning, Data Science, or Advanced Analytics initiatives is highly desirable
• Exposure to CI/CD pipelines, DevOps practices, Infrastructure as Code (IaC), and Agile delivery methodologies is a plus
• AWS certifications or equivalent cloud credentials are highly valued