Global, award winning corporation with sales close to 19 billion annually is expanding their Azure Cloud Platform Dara Warehouse team! Chance to work on a major data initiative to modernize and standardize this Fortune 500 companies data capabilities.Employee Testimonials: Great company. A lot of room to grow.

Very stable! Work-Life balance here is great! Competitive benefits/wages, great workplace environment! Fantastic Company, Great pay and culture, support from management, Many opportunities for growth!Title: Azure Data Analytics Engineer Location: Parsippany, NJ Hybrid Salary: $180,000 - 190,000 + Bonus, Incredible benefits packageResponsibilities: Working closely with the Sr Director of Data and Analytics, this Azure Data Analytics Engineer will play a critical and high visibility role in expanding, cleansing, and standardizing all Data Platforms, Data Pipelines and Data Analytics capabilities. This Azure Data Analytics Engineer will work on a team focused on manage complex data analytics projects, building and maintaining core data assets and platforms. You will play a pivotal role in facilitating the adoption, development, and ongoing management of cloud infrastructure for Data & Analytics needs.

You will be responsible for defining, design, develop, and implement the hybrid platform and data products for various use cases using architectural patterns like Data Lake, Delta Lake, Data collaboration leveraging Azure Data Factory, Databricks, SQL, DLT, Azure Synapse Pipeline, Azure Stream Analytics, Apache Kafka, ADLS, DeltaShare, Mlflow, AzureMLYou will design and implement technical solutions and best practices for data governance, security, and cost optimization. Implementing engineering best practices to improve the quality and speed of the product development lifecycle.Requirements: 10+ years of experience cloud infrastructure, cloud solutions, Data platforms, Business Intelligence/Analytics, and managing complex data analytics projects Experience using architectural patterns like Azure Data Lake or Delta Lake Experience working with Data Collaboration tools like Azure Data Factory, Databricks, SQL, DLT, Azure Synapse Pipeline, Azure Stream Analytics, Apache Kafka, ADLS, DeltaShare, Mlflow, AzureML Demonstrated advanced experience and knowledge in IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance.

Azure cloud certifications are a plus. Familiarity with Data Science, Machine Learning, and Artificial Intelligence solutions Bachelor's Degree from an accredited university in the areas of Computer science, Engineering, Information Systems, Business, or equivalent field of study required.