Azure Data Engineer

Subaru • Camden, NJ

90d • $99,700 - $140,000

About The Position

The Azure Data Analytic Engineer will be the AZURE SME tasked with the development and optimization of cloud-based Business Intelligence solutions. Advances data analytics capabilities and drives innovative solutions. Possesses deep technical expertise in data engineering and plays instrumental role in managing data integrations from on-premises Oracle systems, Cloud CRM (Dynamics), and telematics. Collaborates closely with Data Science and Enterprise Data Warehouse teams and business stakeholders.

Requirements

• Extensive experience with Azure Data Factory, Databricks, and Azure Synapse, as well as proficiency in Python and PySpark.
• Experience integrating data from on-premises Oracle systems and connected vehicle data into cloud-based solutions.
• Deep knowledge of Lakehouse Architecture and Unity Catalog for enterprise data governance.
• Demonstrated proficiency in GitHub for development, collaboration, and deployment in large-scale environments.
• Experience with Infrastructure as Code tools such as Resource Manager (ARM) templates or terraform.
• Strong analytical skills with the ability to diagnose and resolve complex data infrastructure challenges.
• Proven ability to work effectively with Data Science teams, business stakeholders, and cross-functional teams to drive data-driven insights.
• Excellent verbal and written communication skills with the ability to translate technical concepts to non-technical stakeholders.

Responsibilities

• Designs, develops, and maintains scalable, efficient data pipelines using Data Factory, and Databricks, leveraging Py Spark for complex data transformations and large-scale processing.
• Builds and manages extract, transform, and load (ETL)/extract, load, transform (ELT) processes to seamlessly extract, transform, and load data from on-premises Oracle systems, customer relationship management (CRM) technology, and connected vehicles into data storage solutions, such as Azure Data Lake Storage and Azure SQL Database.
• Creates high-code data engineering solutions using Databricks to clean, transform, and prepare data for in-depth analysis.
• Develops and manages data models, schemas, and data warehouses, utilizing Lakehouse Architecture to enhance advanced analytics and business intelligence.
• Leverages Unity Catalog to ensure unified data governance and management across the enterprise’s data assets.
• Optimizes data storage, retrieval strategies, and query performance to drive scalability and efficiency in all data operations.
• Integrate and harmonize data from diverse sources including on-premises databases, cloud services, APIs, and connected vehicle telematics.
• Ensure consistent data quality, accuracy, and reliability across all integrated data sources.
• Utilizes GitHub for version control and collaborative development, implementing best practices for code management, testing, and deployment.
• Develops workflows for continuous integration (CI) and continuous deployment (CD), ensuring efficient delivery and maintenance of data solutions.
• Work closely with Data Science, Enterprise Data Warehouse, and Data Visualization teams, as well as business stakeholders, to understand data requirements and deliver innovative solutions.
• Collaborate with cross-functional teams to troubleshoot and resolve data infrastructure issues, identifying and addressing performance bottlenecks.
• Provide technical leadership, mentorship, and guidance to junior data engineers, promoting a culture of continuous improvement and innovation.

Benefits

• Medical, Dental, Vision Plans
• Pension, Profit Sharing, and 401K Match Offerings
• 15 Vacation days, 9 Company Holidays, 5 Floating Holidays, and 5 Sick days.
• Tuition Reimbursement Program
• Vehicle Discount Programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree