Senior Data Engineer - Remote

Overview

Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases.

In Short

• Lead the design, implement, and maintain scalable data pipelines.
• Architect scalable and efficient data solutions.
• Design and optimize data models and schemas.
• Develop, optimize and automate ETL workflows.
• Utilize big data technologies for distributed data processing.
• Deploy and manage data solutions on cloud platforms.
• Implement and oversee data governance and quality measures.
• Monitor data pipelines and optimize for performance.
• Collaborate with cross-functional teams.
• Mentor junior and mid-level data engineers.

Requirements

• Proven experience as a Senior Data Engineer.
• Experience with Big Data and related tools.
• Strong problem-solving and analytical skills.
• Excellent understanding of data engineering principles.
• Ability to write clean, scalable code using Python.
• Knowledge of data governance frameworks.
• Understanding of machine learning workflows.

Benefits

• Work in a fast-growing enterprise AI company.
• Be part of a team solving real-world problems.
• Opportunity to work with cutting-edge technology.
• Collaborate with a diverse team of engineers and scientists.
• Flexible working environment.