Senior Data Engineer – Azure

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Design, construct, and sustain scalable and resilient data pipelines utilizing Azure Data Factory, Azure Synapse, and other relevant tools.

• Utilize Apache Spark or Databricks for processing and analyzing big data.

• Create and enhance data models, schema designs, and architectures for data warehousing and business intelligence with Power BI and other analytical tools.

• Lead and mentor teams of Data Engineers, offering technical guidance and oversight to ensure successful project execution.

• Collaborate with cross-functional teams, including data scientists, business analysts, and IT professionals, to grasp data requirements and deliver comprehensive data solutions.

• Implement and uphold data security and compliance measures in accordance with organizational policies and regulations.

• Keep updated on industry trends and advancements in data engineering and analytics technologies, applying best practices to enhance processes and solutions.

• Promote the adoption of innovative data engineering techniques and tools, nurturing a culture of continuous improvement and learning.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

• 3 to 6 years of experience in data engineering, with a strong emphasis on Microsoft Azure's Data Analytics Platform.

• Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.

• Experience in leading and managing teams of Data Engineers within a dynamic environment.

• Solid understanding of data modeling, ETL processes, and data warehousing principles.

• Exceptional problem-solving abilities and the capacity to work independently or as part of a team.

• Familiarity with Microsoft Fabric is preferred but not mandatory.

• Outstanding communication and interpersonal skills, with the capability to convey complex technical concepts to non-technical stakeholders.

🏝️ Benefits

• Flexible work arrangements

• Professional development

• Health insurance