| Data Analytics Engineer - Camden, NJ (Locals or nearby only ) at Camden, New Jersey, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2032869&uid= Title: Data Analytics Engineer Location : Camden, NJ (Locals or nearby only ) Visa : GC or US citizens Work Environment Hybrid Role: Remote work 2 days per week (After 90 Days of Onboarding) Travel Required: 25% Primary Responsibilities: Data Ingestion and Storage: 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 Data Lake Storage and SQL Database. Data Engineering: 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 enterprises data assets. Data Integration: Integrates and harmonizes data from diverse sources including on-premises databases, cloud services, application programming interfaces (APIs), and connected vehicle telematics. Ensures consistent data quality, accuracy, and reliability across all integrated data sources. Additional Responsibilities: Collaboration and Leadership: Works closely with Data Science, Enterprise Data Warehouse, and Data Visualization teams, as well as business stakeholders, to understand data requirements and deliver innovative solutions. Collaborates with cross-functional teams to troubleshoot and resolve data infrastructure issues, identifying and addressing performance bottlenecks. Provides technical leadership, mentorship, and guidance to junior data engineers, promoting a culture of continuous improvement and innovation. Required Skills and Abilities Technical Expertise: Extensive experience with Data Factory, Databricks, and Synapse, as well as proficiency in Python and PySpark. Data Integration: Experience integrating data from on-premises Oracle systems and connected vehicle data into cloud-based solutions. Lakehouse Architecture & Governance: Deep knowledge of Lakehouse Architecture and Unity Catalog for enterprise data governance. Version Control & Collaboration: Demonstrated proficiency in GitHub for development, collaboration, and deployment in large-scale environments. Infrastructure as Code (IaC): Experience with Infrastructure as Code Regards, Kenisha Desk : +1-202-770-3256 Email: [email protected] Linkedin : www.linkedin.com/in/kenisha-r-863b57322 OVS Technologies, Inc (OVS) | Http://www.ovstechnologies.com || Doors To Digital || An E-Verified Company Corporate & East Coast Office: 22375 Broderick Drive Suite 165, Sterling VA - 20166 -- Keywords: rlang information technology green card New Jersey Virginia Data Analytics Engineer - Camden, NJ (Locals or nearby only ) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2032869&uid= |
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| 11:14 PM 20-Dec-24 |