Senior Data Engineer / Architect - Remote

Overview

The Senior Data Engineer / Architect is responsible for designing, developing, and maintaining scalable data solutions in the cloud, while collaborating with various teams to ensure data quality and integrity.

In Short

• Design, develop, and maintain scalable data solutions in the cloud using Apache Spark and Databricks.
• Gather and analyse data requirements from business stakeholders.
• Build and optimize data pipelines for data ingestion and processing.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Collaborate with cross-functional teams on data models and storage solutions.
• Optimize data processing performance by tuning Spark jobs.
• Provide technical guidance to junior engineers.
• Stay updated with trends in cloud computing and data engineering.
• Contribute to the improvement of data engineering processes.

Requirements

• Experience with Apache Spark and Databricks.
• Strong understanding of data pipeline architecture.
• Knowledge of data quality and security practices.
• Ability to collaborate with cross-functional teams.
• Experience in optimizing data processing performance.
• Technical mentoring skills.
• Familiarity with cloud computing technologies.
• Strong analytical and problem-solving skills.
• Proactive in staying updated with emerging technologies.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development.
• Flexible working hours.
• Collaborative work environment.
• Access to the latest tools and technologies.