• Design, develop, and manage scalable data pipelines and ETL processes using AWS Glue, Lambda, and MWAA (Apache Airflow on AWS).
• Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Iceberg, and DynamoDB.
• Integrate and monitor data workflows via SNS, CloudWatch, and Datadog.
• Design and implement data modeling and storage strategies in MySQL, Oracle, and PostgreSQL.
• Architect and implement big data platforms with focus on performance, scalability, and maintainability.
• Collaborate with cross-functional teams to analyze business requirements and translate them into data solutions.
• Support ongoing operations and resolve data issues involving application-layer and cloud infrastructure.

• 3+ years of experience in data engineering or big data architecture roles.
• Strong hands-on expertise in AWS data services:
• Glue, Lambda, Redshift, S3, DynamoDB, SNS, MWAA, CloudWatch
• Deep understanding of data lake / data warehouse architecture and data modeling.
• Experience with MySQL, Oracle, PostgreSQL.
• Familiarity with Apache Iceberg or similar data lake table formats.
• Proficiency in monitoring/logging tools such as Datadog.

Nice to have

• Experience in Big Data architecture analysis and design.
• Proven experience in cloud and resource optimization (cost, performance, scalability).
• Ability to solve complex, multi-layered issues involving both application logic and cloud infrastructure.
• Familiarity with Digital Marketing, AdTech, or Customer Data Platforms.