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. The role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and quality of data throughout its lifecycle, and implementing processes to extract, transform, and load data across various systems. This position requires continuous collaboration with different teams to optimize data handling and support organizational data needs effectively.

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 solutions.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Document data processes and workflows to maintain clarity and support knowledge sharing.
• Assist junior team members by providing guidance and support in their tasks.

Requirements

• Minimum 3 years of experience in Databricks Unified Data Analytics Platform.
• 15 years of full-time education required.
• Experience in building and managing scalable data pipelines and workflows.
• Strong knowledge of data integration and ETL processes.
• Familiarity with cloud-based data storage and processing solutions.
• Ability to optimize data processing for performance and cost efficiency.
• Understanding of data governance and quality assurance practices.

Skills

• Databricks
• ETL
• Data Pipelines
• Cloud Computing
• Data Governance