Data Engineer

Design, build, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources into a centralized data platform. Implement and optimize Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) processes. Architect, design, and manage enterprise-level data mesh, warehouses and aggregated data products.

Requirements

• Design, build, and maintain robust and scalable data pipelines
• Implement and optimize ETL/ELT processes
• Architect, design, and manage enterprise-level data mesh, warehouses and aggregated data products
• Work with Relational Database Management Systems (RDBMS) like Oracle, SQL server, and cloud-based relational databases
• Utilize Document Databases such as MongoDB
• Leverage and integrate various cloud services on AWS, Snowflake, MongoDB
• Manage cloud pipelines, monitor performance and optimize costs
• Collaborate with cross-functional teams
• Provide technical leadership and mentorship to junior data engineers
• Strong problem-solving skills and ability to analyze complex systems
• Effective Communication and Agile Methodologies