Lead Consultant – Data On Cloud (AWS Data Lead

We are seeking a highly experienced AWS Data Lead / Lead Consultant with strong expertise in designing and implementing scalable cloud-based data engineering solutions. The ideal candidate will lead end-to-end ETL/ELT pipeline development using AWS services and modern data engineering tools, ensuring high performance, reliability, and data quality across enterprise data platforms.

• AWS Glue (Strong hands-on experience)
• Py Spark
• dbt (Data Build Tool)
• Apache Airflow

• Design, develop, and optimize end-to-end data pipelines using AWS Glue with PySpark.
• Build and manage scalable ETL/ELT workflows and data integration solutions across cloud platforms.
• Develop orchestration workflows using Apache Airflow for scheduling and monitoring data pipelines.
• Design event-driven and scalable architectures using AWS services such as Lambda, Event Bridge, S3, RDS (Aurora/PostgreSQL), and Kinesis/MSK.
• Work with relational and cloud-native databases including Snowflake, PostgreSQL, Aurora, and MS SQL Server.
• Implement robust data modeling practices and write optimized SQL queries for analytics and reporting.
• Build and maintain CI/CD pipelines and implement Infrastructure as Code (Terraform or similar tools).
• Ensure high data quality, governance, and performance optimization across all data workflows.
• Collaborate with cross-functional teams and stakeholders to deliver business-critical data solutions.
• Provide technical leadership and mentorship to engineering teams.

• Lead the design and development of scalable AWS-based ETL/ELT data pipelines using Glue, PySpark, and Airflow.
• Architect and implement cloud data solutions leveraging AWS services and modern data engineering practices.
• Drive CI/CD, automation, and best practices for reliable, high-quality data platform delivery.