Data Engineer

Key Responsibilities:

• Design and implement scalable data engineering solutions using Databricks on cloud platforms.
• Build and optimize ETL/ELT pipelines using PySpark and SQL within the Databricks environment.
• Leverage Unity Catalog to enforce robust data governance, access control, and auditing.
• Develop and manage Databricks Workflows to orchestrate end-to-end data pipelines.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver efficient data solutions.
• Implement best practices for Lakehouse architectures and contribute to platform modernization initiatives.
• Monitor, troubleshoot, and optimize performance across data processing workloads.
• Stay up to date with new features in Databricks and related cloud technologies, recommending enhancements as appropriate.

Required Qualifications:

• 3+ years of recent hands-on experience with Databricks (5+ years preferred).
• Proficiency in SQL and Python, especially with PySpark for big data transformations.
• Solid experience with at least one major cloud platform: Azure, AWS, or GCP.
• Strong understanding of data platform architecture, data analytics pipelines, and data governance frameworks.
• Proven track record of delivering large-scale, reliable data solutions in production environments.

Highly Desirable:

• Databricks Data Engineer Associate or Professional Certification.
• Experience with Delta Lake, MLflow, or other advanced Databricks features.
• Familiarity with CI/CD processes and DevOps for data engineering.
• Experience with tools like Apache Airflow, DBT, or Terraform for orchestration and infrastructure-as-code (optional but a plus).

Our team is composed of experts in their fields who are passionate about delivering high-quality work and maintaining a positive work culture. We value innovation, teamwork, and personal growth. As an experienced Data Engineer, you will have the opportunity to make a significant impact on our projects and contribute to the success of our organization. If you are ready to embrace exciting challenges and foster a culture of excellence, we encourage you to apply.

What do we offer:

• Work remotely from anywhere in the world, with a fully remote team, and enjoy a mutually agreed schedule that fits your needs. (Core US working hours) 
• Work primarily with US-based colleagues, providing you with the opportunity to collaborate with people from diverse backgrounds and skill sets.
• Use your skills and expertise to make a significant impact on the delivery of projects in our company
• Work in a supportive environment that values your contribution and provides you with the resources and training you need to grow in your career.
• Enjoy a 40-hour workweek that provides you with a healthy work-life balance, and the time to pursue your personal and professional goals outside of work.

If you are a dedicated Data Engineer looking for an opportunity to work with a dynamic team, we would love to hear from you. Apply today!