About the Role

As a Data Engineer, you will be instrumental in architecting and implementing data pipelines for data generation, collection, and processing. Your responsibilities will include ensuring data quality, building efficient ETL (Extract, Transform, Load) processes, and facilitating seamless data migration and deployment across various systems. You will collaborate with cross-functional teams, understand data requirements, and contribute to the overall data strategy, ensuring solutions are scalable and aligned with business objectives.

This is an opportunity to become a subject matter expert (SME) and actively participate in team discussions, contributing solutions to complex data-related problems.

Key Responsibilities

• Design, develop, and maintain data solutions for data generation, collection, and processing.
• Create and manage data pipelines, ensuring high data quality.
• Implement ETL processes for data migration and deployment across systems.
• Assist in the design and implementation of data architecture to support data initiatives.
• Monitor and optimize data pipelines for performance and reliability.
• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work-related problems.

Required Skills and Qualifications

Must-Have Skills:

• Proficiency in Amazon Web Services (AWS).
• Strong understanding of data warehousing concepts and best practices.
• Experience with ETL tools and data integration techniques.
• Familiarity with data modeling and database design principles.
• Knowledge of programming languages such as Python or Java for data processing.

Experience:

• Minimum 3 years of experience required, specifically with Amazon Web Services (AWS).

Educational Qualification:

• 15 years of full-time education is required.