Data Engineer, Sr.

📋 Description

• Design, develop, and maintain scalable ETL pipelines for data migration & integration.
• Build and optimize AWS data lake/warehouse with Glue, S3, Athena, Redshift, Lake Formation, Lambda
• Develop Python scripts and DB procedures for automation of data workflows.
• Manage relational DBs (MySQL, SQL Server, Aurora MySQL) with focus on performance and reliability.
• Configure/troubleshoot AWS data engineering services (Glue Catalog, Hudi tables, SQS
• Monitor data platforms, identify bottlenecks, improve scalability and security.

🎯 Requirements

• Proven Data Engineer with strong AWS cloud data engineering/migration experience.
• Hands-on AWS (S3, Athena, Glue, Redshift, Lake Formation, Lambda, Step Functions, EventBridge
• Relational DB knowledge: MySQL, SQL Server; data warehouse design (Redshift).
• Python proficiency for scripting, ETL, automation.
• Experience with structured/unstructured data, ETL processing, data cleansing.
• Knowledge of Hudi, Glue Catalog, SQS; cloud data lake implementations.

🎁 Benefits

• Fully remote work environment; work from anywhere.
• Competitive contract compensation based on experience.
• Work on large-scale cloud migration and modern data platforms.
• Exposure to broad AWS ecosystem and cloud-native tech.
• Collaborative Agile environment with ownership and autonomy.
• Opportunity to contribute to innovative, product-driven projects.