Senior Data Engineer (Databricks) - Remote

Overview

We are looking for a Senior Data Engineer to join our team, where you will work on scalable data solutions and face technical challenges in data services.

In Short

• Design, develop, and maintain scalable data pipelines.
• Collaborate with cross-functional teams to ensure data integrity.
• Integrate and optimize data quality across all pipelines.
• Implement solutions for Data Lake and Data Warehouse.
• Participate in data governance rituals.
• Define and monitor non-functional requirements.
• Propose innovative solutions for data challenges.
• Manage project technical roadmap and dependencies.
• Communicate effectively to resolve technical issues.
• Familiarity with DataOps practices.

Requirements

• Experience with Databricks (Spark, PySpark) and PowerCenter.
• Solid experience in Data Warehouse and Data Lake.
• Experience with Azure services like Data Factory.
• Strong understanding of data quality and pipelines.
• Familiarity with continuous integration and delivery.
• Ability to mobilize teams and communicate effectively.
• Capable of managing technical project roadmaps.
• Competence in integrating solutions considering trade-offs.

Benefits

• Opportunity to work with a leading technology company.
• Collaborative and innovative work environment.
• Access to advanced tools and technologies.
• Career growth and development opportunities.
• Work with a diverse team of experts.