Data Engineer

Role Overview

As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and integrity of data throughout its lifecycle, and implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems. The position requires continuous monitoring and optimization of data workflows to support organizational needs and enhance data accessibility.

Responsibilities

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions.
• Monitor and troubleshoot data pipelines to ensure consistent and reliable data delivery.
• Document processes and workflows to maintain clarity and support knowledge sharing within the team.
• Assist junior team members by providing guidance and support to foster their professional growth.

Requirements

• Minimum 3 years of experience in Data Warehouse ETL Testing.
• 15 years of full-time education.
• Experience with data integration and transformation tools to support ETL processes.
• Strong knowledge of data quality assurance techniques and validation methods.
• Familiarity with database management systems and query languages.
• Ability to analyze and optimize data workflows for performance and scalability.
• Understanding of data governance and compliance standards.

Skills

• Data Warehouse ETL Testing
• ETL
• Data Pipelines
• SQL
• Data Integration