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 and ensuring the integrity and quality of data throughout its lifecycle. The position also requires implementing processes to extract, transform, and load data, facilitating smooth migration and deployment across various systems.

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 scalable data solutions.
• Monitor and troubleshoot data pipelines to ensure consistent and reliable data flow.
• Document data processes and workflows to maintain transparency and support knowledge sharing.
• Assist junior team members by providing guidance and support in their tasks.

Requirements

• Minimum 3 years of experience in Microsoft Power BI.
• 15 years of full time education.
• Experience in designing and managing data pipelines and ETL processes.
• Strong knowledge of data integration techniques and data quality assurance.
• Ability to work with large datasets and optimize data workflows for performance.
• Familiarity with database management and data warehousing concepts.

Skills

• Microsoft Power BI
• ETL
• Data Pipelines
• Data Warehousing