Data Engineer

Role Overview

As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization.

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 optimize data workflows to improve performance and reliability.
• Document data processes and maintain clear communication with stakeholders.
• Assist junior team members by sharing knowledge and providing guidance.

Requirements

• Minimum 3 years of experience in Databricks Unified Data Analytics Platform.
• 15 years full time education required.
• Experience in building and managing scalable data pipelines and workflows.
• Strong understanding of data integration and ETL concepts.
• Familiarity with cloud-based data storage and processing solutions.
• Ability to troubleshoot and resolve data quality and pipeline issues.
• Knowledge of scripting and automation to streamline data operations.

Skills

• Databricks Unified Data Analytics Platform
• ETL
• Data Pipelines
• Cloud Computing