Senior Data Engineer (remote)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - REMOTE. In this role, you will have a crucial impact on developing and maintaining scalable data pipelines while enhancing data models. You will provide essential expertise in data acquisition and consumption within Azure cloud solutions. Collaborating with various teams, you will elevate data accessibility to foster data-driven decision-making. Your contributions will directly influence the organization's success and culture by championing best practices and innovative solutions. This opportunity is not just about data engineering—it's about making a meaningful impact. Accountabilities Develop and maintain scalable data pipelines. Enhance data models for improved performance. Provide subject matter expertise in data acquisition. Foster collaboration to align with business objectives. Champion best practices in cloud-based data solutions. Develop reusable code and libraries for ETL processes. Ensure data quality, integrity, and security throughout the lifecycle. Requirements Minimum of 10 years of practical data engineering experience. Strong proficiency in Azure services, particularly Azure Databricks. Advanced skills in Apache Spark using PySpark and Databricks SQL. In-depth knowledge of ETL/ELT processes and data pipeline development. Experience with Delta Lake features such as schema evolution. Solid background in data modeling techniques. Hands-on experience with batch and real-time data processing. Strong understanding of data architecture principles. Benefits Generous time off, including personal and volunteering days. Tuition reimbursement and professional development opportunities. Flexible remote work options. Charitable contribution matching programs. Stock purchase opportunities. #J-18808-Ljbffr